dbt Jobs in India.
All active dbt roles based in India.
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Role Overview
We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.
What You'll Do
Financial Data Analytics & Modeling
- Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
- Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
- Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
- Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics
Business Intelligence & Reporting
- Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
- Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
- Develop self-service analytics capabilities enabling finance teams to access real-time business insights
- Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)
Data Engineering & Analytics Infrastructure
- Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
- Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
- Ensure data quality, consistency, and governance across financial reporting systems
- Optimize database performance and data architecture for scalability
Strategic Analysis & Insights
- Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
- Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
- Translate complex data findings into clear, actionable recommendations for leadership
- Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases
Required Qualifications
Technical Skills
- Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
- Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
- Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
- Preferred: Python or R for data analysis, automation, and statistical modeling
- Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
- Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)
Financial & Business Acumen
- Experience in data analytics within finance, FP&A, or revenue operations functions
- Strong understanding of financial statements (P&L, balance sheet, cash flow)
- Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
- Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
- Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)
Analytical & Problem-Solving
- Proven ability to work with large, complex datasets and derive meaningful insights
- Experience building financial models and dashboards that drive executive decision-making
- Strong statistical analysis skills and understanding of data visualization best practices
- Track record of translating ambiguous business problems into structured analytical frameworks
Preferred Experience
- Background in fintech, payments, B2B SaaS, or high-growth technology companies
- Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
- Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
- Exposure to data science methodologies and machine learning concepts
- Previous work in cross-functional environments collaborating with finance, data science, and business teams
Key Competencies
- Business Acumen: Ability to understand complex business models and translate them into data requirements
- Technical Excellence: Deep technical skills with commitment to code quality and best practices
- Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
- Stakeholder Management: Experience partnering with senior leaders and influencing through data
- Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
- Continuous Learning: Curiosity to learn new tools, techniques, and business domains
- Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting
Education
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
- Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus
What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.
Ready to apply?
Apply to Stripe
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Deputy Manager, Analytics & Insights to join our FP&A Analytics Team. This role is based in Mohali on a hybrid basis, reporting to the Manager, FP&A Analytics. You will be a cornerstone of our General and Administrative team, providing a foundation for growth at the world's cloud security leader. By partnering across the organization, you will help scale our operations and nurture a culture of excellence through sophisticated financial insights and data infrastructure.
What you’ll do (Role Expectations)
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Drive strategic financial analytics by partnering with stakeholders to define metrics, build complex solutions, and deliver impactful insights across Revenue, Margin, and Customer Retention
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Manipulate and model complex datasets from Snowflake using expert SQL and Python for advanced reporting and forecasting
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Manage and optimize dbt projects, ensuring logic correctness, debugging failures, and evolving models with new business dimensions and facts
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Maintain and build robust ETL/ELT data pipelines to ensure smooth data flow from source systems into the analytics environment
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Innovate and automate reporting bottlenecks using Python or SQL while exploring GenAI applications like LangChain for financial commentary
Who You Are (Success Profile)
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You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
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You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
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You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
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You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
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You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
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A minimum of 5 years of experience in Finance Analytics, Business Intelligence, or related technical fields with a deep understanding of SaaS business metrics such as ARR, NRR, and Churn
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Expert-level proficiency in SQL for complex queries and performance optimization in Snowflake, alongside strong working knowledge of Python for data analysis
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Intermediate to operational dbt proficiency, including experience running models, debugging errors, and adding logic to projects
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Practical experience in functional data engineering, encompassing ETL/ELT concepts and the ability to build or maintain data pipelines
What Will Make You Stand Out (Preferred Qualifications)
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Hands-on exposure to Generative AI tools such as LangChain, LlamaIndex, or building applications with OpenAI APIs
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Prior experience navigating the unique financial dynamics of a high-growth SaaS company
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Advanced dashboard creation skills using visualization tools like Tableau, PowerBI, or Looker
#LI-HG1
#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Deputy Manager - Analytics and Insights to join our FP&A Analytics team. This is a hybrid role based in our Mohali Office, reporting to the Manager - Analytics and Insights, FP&A.
As Deputy Manager, you will serve as the architect and technical strategist for Finance’s modern data ecosystem—defining the Source of Truth for core SaaS metrics and building scalable, trusted data products. You will lead the professionalization of the Finance data stack in Snowflake and dbt, enabling automated reporting, faster forecasting, and high-impact analytics. You will also prototype and operationalize GenAI use cases to reduce manual effort and improve decision-making.
What you’ll do (Role Expectations)
- Define and own the governed, auditable data models for core SaaS metrics (ARR, NRR, and churn), ensuring all complex business logic is accurately translated into the data architecture
- Utilize expert-level SQL and Python to design and build analytical datasets within Snowflake that power critical FP&A reporting, forecasting, and executive insights
- Manage the Finance DBT environment by overseeing project structure, standards, testing strategies, and performance optimization, while migrating legacy logic into modern, modular facts and dimensions
- Lead efforts to identify operational bottlenecks and develop robust SQL and Python frameworks designed to eliminate manual work and streamline financial data workflows
- Spearhead the prototyping of RAG and LangChain-based solutions to provide automated business commentary and enhance self-serve insights through cutting-edge AI
Who You Are (Success Profile)
- You act like an owner whose passion for the mission fuels a bias for action and an operation of high integrity. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
- You are a high-trust collaborator who is ambitious for the team, embracing a challenging culture by giving and receiving feedback with clarity and respect.
- You are a pragmatic builder obsessed with creating, iterating, and shipping, balancing technical excellence with the need to deliver value quickly.
- You are data-driven, using analytics to find the truth and value evidence over assumptions to drive better outcomes.
- You think at scale, connecting your work to the global company mission and building solutions that are built to last in a high-growth environment.
What We’re Looking for (Minimum Qualifications)
- 5–7+ years in Finance Analytics, Analytics Engineering, or Data Engineering with strong exposure to finance systems and metrics
- Expert SQL with deep Snowflake experience including data modeling, optimization, and warehousing best practices at scale
- Strong Python proficiency for data engineering and automation including APIs, pipelines, and frameworks
- Significant hands-on DBT experience focusing on dependencies, testing strategy, standards, and CI/CD concepts
- Practical experience designing and operating ELT pipelines and orchestration such as Airflow or Prefect along with dimensional and schema design
What Will Make You Stand Out (Preferred Qualifications)
- Hands-on GenAI implementation experience with LangChain, LlamaIndex, or OpenAI APIs, ideally with RAG patterns applied to finance workflows
- Proven mentorship or code review experience setting engineering standards and elevating junior analysts and engineers
- Experience supporting SaaS at scale including hyper-growth metrics complexity, evolving governance, and multi-source finance data
#LI-HG1
#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Senior Data Engineer
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
Who you are
As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
What you'll do
- Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
- Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
- Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
- Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
- Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
- Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
- Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts
- Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
- Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
- Ensure flexibility with availability during evening hours
What we're looking for
- Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
- 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
- Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
- 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
- Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
- Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
- Ability to deliver high standards of code quality, system reliability, and performance
- Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
- Strong proficiency in Terraform is a must-have.
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
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Who we are
Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.
What you'll do
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What we're looking for
- 5+ years experience with data/analytics engineering
- 5+ years of experience with Python and SQL (preferably Snowflake)
- 3+ years of experience with dbt (dbt certification a plus)
- Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders
- Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices
- Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights
- An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization
- Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)
- Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow
- Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
Our Stack
- Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
- Datastores: MySQL, PostgreSQL, Snowflake
- Cloud: AWS
- Version control: Git & GitHub
- AI Tooling: Copilot on GitHub
- Observability: Datadog
3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Ready to apply?
Apply to Metropolis
Data Engineer
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Opportunity Overview:
We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform.
- You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases.
- You will collaborate with senior engineers, analytics teams, and platform stakeholders to deliver production-grade data solutions.
What you’ll do:
- Develop and maintain batch data pipelines
- Build reusable ingestion and transformation workflows
- Build and maintain Apache Iceberg datasets
- Support schema evolution and partition optimization
- Optimize Athena queries and troubleshoot performance bottlenecks
- Implement data validation checks and monitoring
- Support production issue troubleshooting
Required Qualifications:
- 4–5 years of experience in data engineering
- Strong hands-on experience with Python, SQL, PySpark/Spark
- Experience with AWS S3, Glue, Athena
- Experience with DBT and Airflow (or equivalent)
- Familiarity with Apache Iceberg / Hudi / Delta
- Understanding of partitioning and Parquet optimization
Interview Process*:
- Connect with Talent Acquisition
- Technical Round 1
- Technical Round 2
- Final Round
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Sr. Business Intelligence Engineer, Enterprise Intelligence (Hybrid, Bangalore)
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up, with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data.
We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and governing corporate executive reporting, standardising metrics and reporting practices at scale, and enabling self-serve and AI-powered data solutions. Day to day, this means you could be building an automated executive scorecard, codifying metric definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's data is trusted, consistent, accessible, and ready for both human and AI consumption.
This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build the governed data layer that underpins everything — from board-level scorecards to LLM-powered insights to self-serve dashboards.
You Will
- Design, build, and maintain governed metric models — standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
- Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
- Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations shared via reviews and async updates
- Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
- Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL
- Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
- Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
- Translate qualitative UX signals and customer feedback into measurable data pipelines
You Have
- Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
- 5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
- Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
- Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models; hands-on experience is a plus but not required
- Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
- Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
- Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
- Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
- Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
- A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment
Preferred Qualifications
- Experience building AI agent skills, subagents, or MCP server integrations for LLMs
- Hands-on experience using agentic coding platforms (Claude Code, Cursor, Windsurf, etc.) to streamline and automate analytics workflows
- Software engineering experience (Python, JavaScript/TypeScript) with the ability to contribute to application-level instrumentation code
- Experience with event taxonomy design, behavioural analytics pipelines, or product instrumentation (Amplitude, Segment, etc.)
- Familiarity with metric governance frameworks, data catalogues, or data quality tooling
- Prior experience working in a SaaS or enterprise software environment
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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Principal Analytics Engineer (Data Architect) - Hybrid in Bangalore
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
As a global leader in Collaborative Work Management and with a market cap of $10bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 9 teams with over 70 engineers in 2024. As we expand into India and build out a new operation, we're searching for a talented and motivated Principal Analytics Engineer (Data Architect) to serve as a thought leader in our data-driven decision-making. You will be responsible for the end-to-end system design and architecture of our business critical analytical systems (DWs). This role will be responsible for the design and development of a governed, reliable, and scalable analytics ecosystem, transforming raw data into high-value, performant data products for DS/ML, analytics, and reporting.
A key aspect of this role is providing thought leadership and architecting efficient, large-scale data transformation systems within Snowflake. You will have demonstrated experience architecting data solutions for SaaS companies, specifically within the Go-To-Market (GTM), Marketing, Customer Experience, and Financial business domains. Working as a strategic advisor to BI analysts, Data Scientists, and business leadership, you will drive the organization's data strategy, ensure data accessibility, and foster data democratization across the enterprise.
This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.
You Will:
- Lead the end-to-end system design and architecture for large, complex analytics systems, optimizing data transformations from our data lake in Snowflake into analytical data products (DWs).
- Define and drive the adoption of design standards, architectural principles, and data modeling methodologies (including Data Vault (DV 2.0) and dimensional modeling) across the organization.
- Propose and drive strategic initiatives and coordinate the technical roadmap for analytical systems across the engineering organization partnering closely with the Big Data Platforms (BDP) team.
- Serve as the data architect for critical SaaS business domains, including Go-To-Market, Marketing, Customer Experience, and Finance, translating ambiguous business problems into scalable technical analytical solutions.
- Develop and implement the organization's data strategy for data quality, observability, and testing, raising the bar for engineering quality.
- Architect and guide teams to build and maintain a governed, robust, reliable, and scalable analytics system leveraging Gen AI capabilities including AI-assisted code development practices.
- Act as a trusted advisor to BI analysts, data scientists, and business leaders, educating and advising leadership on technical data topics and data accessibility strategies.
- Foster data democratization via activation of data on critical platforms like Smartsheet Platform, Amplitude, ThoughtSpot, Gainsight & Salesforce.
- Actively mentor analytics engineers and provide mentorship across disciplines, leading forums such as guilds, design reviews, and engineering forums.
- Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).
You Have:
- 12+ years of experience in advanced data modeling, data architecture, and data warehousing. This role is expected to do development activities in combination of the data architecture scope, so hands-on experience is necessary.
- Deep expertise and 10+ years of hands-on experience with Data Vault (DV 2.0) and Dimensional Modeling.
- Expert-level knowledge of modern data stacks, including Snowflake, dbt, and data orchestration tools (e.g., Airflow, GitLab pipelines).
- Proven experience architecting and building analytical products for SaaS companies in GTM, Marketing, Customer Experience, and Financial data domains.
- Comprehensive understanding of data topologies (e.g., data mesh, hub/spoke) and data modeling methodologies (e.g., Data Vault, Kimball, Inmon).
- Demonstrated ability to drive clarity in ambiguous environments where the strategy may not be defined.
- Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
- Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
- Exceptional communication skills, with experience educating and advising senior leadership and mentoring teams across disciplines.
- Strong knowledge of data governance principles, CI/CD practices (e.g., GitLab), self-serve analytics tools (e.g., Amplitude, ThoughtSpot), and cloud architectures (AWS preferred).
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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Sr. Analytics Engineer- Hybrid in Bangalore
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting.
A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.
This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.
You Will:
- Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products.
- Contribute to the design standards and architectural principle standards, designs and processes.
- Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
- Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
- Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
- Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
- Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
- Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
- Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).
You Have:
- 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
- Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
- Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
- Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
- Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
- Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
- Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
- Familiarity with AWS solutions such as S3, EC2, VPC.
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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Sr. Revenue Operations Data Engineer (Hybrid in Bangalore)
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.
Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.
You Will:
- Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
- Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
- Mine large datasets to ensure data accuracy and completeness for reporting purposes
- Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports
- Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics
- Automate report generation and distribution to improve efficiency
- Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
- Ensure data governance and data integrity across all reporting tools and platforms
- Proactively identify and propose improvements to existing reporting processes and systems
- Be a mentor and leader to the more junior analysts on the team
- Perform other duties as assigned
You Have:
- Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
- 5+ years of experience in an analytics/engineering role with increasing responsibility
- Experience in Cloud and SaaS go-to-market (GTM)
- Expertise in SQL and preparing data for analysis, modeling, and visualization
- 3+ years of experience using Python for data analysis / automation
- 3+ years of experience with dbt core
- 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc.
- Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.)
- Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.
Nice To Have:
- Experience building ML models
- Proficiency with Tableau preferred
- Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
- Experience publishing and presenting data and findings to executives and non-data users
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Analytics Engineer, India
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About the Team
The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.
About the Role
As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.
This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
You’re excited about this opportunity because you will…
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
We’re excited about you because…
- 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
- Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
- Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast fast-paced environment, self-starter, and self-organizer
- Ability to think strategically, analyze, and interpret market and consumer information
Nice to Have
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
- Familiarity with experimentation concepts like A/B testing and their data requirements
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
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About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Key Responsibilities:
- Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
- Architect and implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
- Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
- Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
- Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
- Serve as a liaison with onshore leadership, driving strategic backlog prioritization, release management, and complex cross-regional project coordination to align with organizational objectives.
- Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
- Assist with enterprise capacity planning, resource optimization, and architectural design of innovative data solutions tailored to evolving business requirements.
- Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.
Senior-Level Expectations:
- Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
- Mentor and develop junior and mid-level engineers through structured coaching, technical workshops, and ongoing knowledge transfer, cultivating a high-performance engineering culture.
- Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
- Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.
Required Skills
- 5-6years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
- Provenexpertisein designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
- Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.
Good to Have
- Adverity
- Dataflow
- Big Query
- Databricks
- DBT
- Terraform
- Wrike/Jira/Azure DevOps
- DP‑203 / GCP Data Engineer certifications
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
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Apply to WPP MediaAbout Manifest Global
Manifest Global is building the infrastructure for global human capital mobility -connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.
About This Role
Manifest Global operates four brands across 50+ countries, generating data across thousands of schools, hundreds of thousands of students, and 1,000+ university partners. Counselor behaviour, student application journeys, university conversion rates, placement outcomes, attribution revenue - it's all there. The data exists. The question is whether the infrastructure around it is good enough to make it useful.
Right now, the data platform works. Pipelines run, the warehouse holds data, the BI layer surfaces reports. But Manifest is growing - new brands, new markets, new activation use cases - and the infrastructure needs to scale with it. There are pipelines that need to be more reliable. Transformation logic that needs to be cleaner. Warehouse design that needs to handle more volume without degrading performance. And an activation layer - reverse ETL, operational analytics, data flowing into the tools the business actually uses - that is still being built.
As a Senior Data Engineer, you will own significant parts of the data platform end to end - ingestion, transformation, warehouse, activation - and you will be one of the people who determines whether Manifest's data infrastructure is a genuine competitive advantage or a persistent constraint. You will work closely with Principal Engineers, Product, and business stakeholders across all four brands, and you will be expected to operate with the ownership and judgment of someone who has built production-grade data systems before.
What makes this role different: Manifest has real data - cross-brand, multi-geography, commercially significant data. The stack is modern: Snowflake, dbt, Hevo, Airtable, Metabase. The problems are real. And when the data infrastructure surfaces the right insight, it changes a decision that affects real students and real institutions.
AI is central to how we build: This isn't just a data engineering role - it is a role where you will actively design and build AI infrastructure that accelerates the team's own development velocity. We use Snowflake Cortex AI with Claude in our daily engineering workflow - for debugging, RCA, query optimisation, and pipeline analysis. We have already cut root cause analysis time. The next step is embedding AI deeper: automated ticket handling, intelligent monitoring, and AI-assisted development tooling that lets the team move faster without sacrificing reliability.
What You Will Own
1. AI Infrastructure for Data Engineering
- Design and build AI-assisted development tooling - LLM-powered code generation for dbt models, SQL transformations, and pipeline scaffolding that dramatically reduces time-to-production for new data assets
- Build intelligent data quality and anomaly detection systems - AI-driven monitoring that learns normal patterns across pipelines and surfaces anomalies before they propagate downstream, replacing manual threshold-based alerting
- Implement AI-augmented data cataloguing and lineage - automated documentation generation, schema understanding, and semantic tagging so engineers spend less time writing docs and more time building
- Develop AI-powered pipeline debugging and root cause analysis - tooling that diagnoses failures, traces impact through the DAG, and proposes fixes rather than requiring engineers to trace failures manually
- Build and maintain the infrastructure that supports AI features - vector stores, embedding pipelines, retrieval layers, and model serving infrastructure that powers AI capabilities across Cialfo, BridgeU, and Explore
- Evaluate and adopt emerging AI developer tools - stay ahead of how AI tooling (Claude, Cortex AI, GitHub Copilot, LLM APIs) can be embedded into the team's workflow to shorten feedback loops and accelerate feature delivery
2. Data Warehouse Design, Cost & Maintenance
- Own significant portions of the Snowflake data warehouse - schema design, performance optimisation, and the integrity of the data models that the rest of the stack depends on
- Apply strong data warehousing methodologies: dimensional modelling, layered transformation logic, clear separation between raw, staged, and served layers
- Design and build cross-brand data primitives - shared, canonical data layers for K12, Student, University, and Application data that work consistently across Cialfo, BridgeU, and Kaaiser. This is active work and a critical foundation for the multi-brand data platform
- Own Snowflake cost optimisation - monitor warehouse spend, identify high-cost queries and sync jobs, right-size warehouse configurations, and drive measurable reductions in monthly compute spend.
- Ensure the warehouse handles increasing data volumes from across all four brands without degrading query performance or downstream reliability
3. ETL/ELT Pipelines, Scheduling & Transformation Logic
- Design, build, and maintain production-grade data pipelines - ingestion via Hevo or similar, transformation via dbt, SQL-based logic that is clean, documented, and maintainable
- Design and manage Snowflake Task DAGs - build and maintain dependency-chained task graphs for ingestion, LLM processing, and sync workflows. Understand how to structure root tasks, child tasks, CRON scheduling, warehouse assignment, and failure isolation so pipelines don't cascade-fail
- Own Airtable as an operational data layer - manage Snowflake-to-Airtable and Airtable-to-Snowflake sync workflows, including the
SNOWFLAKE_TO_AIRTABLE_TABLELISTsync config, upsert logic, incremental filters, and sync cost optimisation. Airtable is both a key data source and a reporting destination across brands - Build and own reverse ETL workflows that activate warehouse data into operational tools - getting the right data into the hands of the teams that need it, not just into dashboards
- Take full ownership of pipeline failures: root cause identification, fix, downstream impact analysis, and prevention - not just resolution
4. Data Quality & Reliability
- Define and enforce data quality standards across datasets you own - automated validations, delta checks, row counts, time-based monitoring
- Build monitoring and alerting that surfaces problems before they reach the business
- Document data lineage, transformation assumptions, and technical decisions so the platform is understandable and maintainable as the team grows
5. BI Platform & Reporting
- Maintain and enhance the existing BI layer - Metabase and build reporting interfaces that non-technical stakeholders can actually use
- Collaborate with Product and Analytics teams to translate business needs into reliable technical solutions
- Communicate clearly across all four brands - be the person who can explain a data problem in business terms and a business problem in data terms
What Success Looks Like
You'll start by building a complete picture of the current state - which pipelines are fragile, where data quality is inconsistent, what the highest-impact improvements look like, and where activation use cases aren't yet built. You will have a point of view on where to move first.
From there, the infrastructure will be measurably more reliable. Pipelines that were breaking will run consistently. Data quality issues will be caught early or prevented entirely. The BI layer will be getting used - not just maintained.
Over time, the data platform will be something the business genuinely relies on - fast enough to support the pace of growth, reliable enough that data consumers trust what they are looking at, and built in a way that the next engineer who joins can understand and extend without starting from scratch.
About You
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience
Experience
- 5+ years building and maintaining production-grade data pipelines and data warehouses - not prototypes, but systems that real business decisions depend on
- Strong experience architecting and implementing large-scale business intelligence solutions
- Strong experience in data warehouse design and advanced SQL
- Hands-on experience with the modern data stack: Snowflake (or equivalent cloud warehouse), dbt, Hevo or Airbyte or similar
- Advanced SQL proficiency: CTEs, window functions,
QUALIFY, query optimisation, and understanding the difference between SQL that works and SQL that scales - Experience with Snowflake-native features: Task DAGs, Dynamic Tables, Snowflake Cortex AI,
AI_COMPLETE, warehouse sizing, and query profiling - Experience with Airtable as an operational data layer - syncing data between Snowflake and Airtable, managing upsert logic, and keeping sync costs low
- Experience owning Snowflake cost monitoring and optimisation - identifying expensive queries, bloated sync jobs, and warehouse over-provisioning
- Experience with user-facing BI tools: Metabase, Looker, or similar
- Experience working in agile, ticket-based workflows (Jira)
- Experience building or integrating AI/LLM tooling into data engineering workflows - specifically Snowflake Cortex AI, or LLM APIs (OpenAI, Anthropic, etc.) for structured data tasks, fuzzy matching, or pipeline automation
- Familiarity with vector databases, embedding pipelines, or retrieval-augmented generation (RAG) infrastructure is a strong plus
- Exposure to MLOps or AI infrastructure patterns - model serving, feature stores, or AI monitoring - is an advantage
Skills & Qualities
- You take ownership of reliability. When a pipeline fails, you don't just fix the immediate problem - you understand why it happened, what it affected downstream, and what needs to change so it doesn't happen again
- You communicate clearly with non-technical stakeholders. You've sat in a requirements conversation with a commercial or product team, understood what they were actually asking for, and built something that answered the real question
- You document your work well enough that someone else could maintain it - data lineage, transformation assumptions, technical decisions
- Comfortable working in a multi-brand, multi-stakeholder environment where data problems span different systems, teams, and geographies
- Strong problem-solving skills and attention to detail
- Ability to hold multiple priorities simultaneously and make good judgments about what to work on first
- You're genuinely excited about AI as a force multiplier for engineering teams - you actively use AI tools in your own workflow and have a point of view on how they can make data teams faster without sacrificing reliability
Why Manifest
We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997.
The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.
$80M raised from Tiger Global, SIG, and Square Peg. Still early.
The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.
Ready to apply?
Apply to Cialfo
Senior Data Engineer
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About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.
Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.
About the role
We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.
You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.
Your day to day
- Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
- Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
- Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
- Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
- Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
- Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
- Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
- Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
- Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
- Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.
What you bring to the team
- Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
- 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
- Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
- Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
- Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
- Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
- Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
- Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
- Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
- Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
- Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
- Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.
What we would like to see but not required:
- Experience in large-scale healthcare or payer data environments.
What you’ll get in return :
- Competitive Leave & Benefits
- Comprehensive health coverage
- Equity for every employee – share in our success
- Growth-focused environment – your development matters here
Work arrangements :
- Standard hours: 8 hours/day, 5 days/week
- Location: Pune, Hybrid (3 days a week in office)
- Shift: 12pm-9pm IST
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
Ready to apply?
Apply to Abacus Insights
Sr Business Intelligence Engineer
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Opportunity Overview:
We are seeking a Senior Business Intelligence Engineer to join our Intelligence team. In this role, you will design, build, and optimize scalable data models and analytical assets that power reporting and self-service analytics across the organization. You will play a key role in strengthening our BI ecosystem by partnering closely with data platforms, and product teams to deliver high-quality, governed, and performant datasets and dashboards, while upholding best practices and standards..
This is an ideal opportunity for an experienced BI engineer who thrives in a hands-on technical role, can independently support complex initiatives, and is passionate about building clean, reliable, and scalable data foundations. This position offers the chance to have a substantial influence on the company, with the potential for rapid career advancement in a highly visible environment.
What you’ll do:
- Collaborate with business stakeholders to understand reporting needs and translate them into functional requirements.
- Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.).
- Build and optimize Tableau dashboards and KPI frameworks with a focus on performance, usability, governance, and row-level security.
- Ensure data consistency and quality in reports by working closely with the data management team.
- Apply best practices in dbt modeling, testing, version control, and release management to ensure high-quality, maintainable pipelines.
- Perform data analysis and ad-hoc queries to support business decision-making.
- Stay current with industry best practices and emerging BI technologies.
What you’ll need:
Must-haves
- 6+ years of professional experience in business intelligence, analytics engineering, or data engineering, preferably in healthcare or another data-rich, regulated domain.
- Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
- Excellent english communication skills, with proven ability to create & deliver the results of analyses to non-technical audiences
- Advanced proficiency in SQL and strong hands-on experience with analytics engineering frameworks such as dbt.
- Strong experience with Tableau (Cloud and Desktop), including dashboard development, row-level security, performance optimization, and basic administration.
- Experience working with workflow orchestration tools such as Airflow.
- Experience working in AWS-based data platforms.
Nice-to-haves
- Experience with dbt or with similar tools
- Experience with Python.
- Exposure to additional BI platforms such as Power BI, Sisense, or open-source BI tools.
- Experience supporting dashboard embedding and integration into web applications.
- Background in healthcare payer analytics, utilization management, or clinical workflows.
- Previous experience working in a global model
Ability to commute/relocate:
- Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition for a Preliminary Phone Screening
- Technical test
- Meet your Hiring Manager
- Technical Round
- Case Study
- Final Interview
*Subject to change
About ZignaAI, a Cohere Health Company:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Manager, Business Intelligence
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Opportunity Overview:
We’re hiring a Manager, Business Intelligence to lead our India-based BI team and drive high-quality, reliable delivery across reporting and analytics. You will directly manage a team of BI Engineers and Analysts (7 members), serving as the operational backbone for our global BI function. Reporting to the Director of Data and AI. You’ll partner cross-functionally with global teams to deliver insights that directly impact providers, patients, and clients. This is a high-visibility role with strong growth potential, ideal for a player-coach who can go deep technically while driving speed, accountability, and high-quality execution across the team. We’re looking for a strong operator who can bring structure and discipline to fast-moving priorities, making clear trade-offs, and maintaining delivery momentum without sacrificing quality. We value teammates who are collaborative, candid, and empathetic, and are committed to building an inclusive, growth-oriented environment.
What you’ll do:
- Define and execute the Business Intelligence roadmap, aligned with company and client needs while ensuring accuracy, timeliness, and contractual alignment
- Lead and manage a team of BI Engineers and Business Analysts, enforcing clear ownership, SLAs, and accountability.
- Act as a senior partner to Product, Operations, and Client teams, translating complex asks into structured work products for the team
- Identify and eliminate bottlenecks in data pipelines, reporting workflows, and team execution
- Build scalable, reusable reporting frameworks and KPI layers across the organization
- Champion a self-service analytics culture while maintaining governance and data integrity
- Implement robust processes for data validation, reconciliation, and monitoring
- Drive data quality, metric standardization, and governance across all reportin
Required Qualifications:
- 7+ years in BI / Analytics / Data Engineering
- 2+ years of people management experience
- Prior experience working in a global setting, partnering closely with US-based BI leadership, Product, and Operations teams
- Deep expertise in Agile execution and Jira-based delivery management:
- Backlog ownership, sprint planning, ticket triaging, and prioritization
- Ability to manage frequent re-prioritization without delivery breakdowns
- Strong hands-on experience in:
- SQL (advanced) and data modeling (dimensional / star schema)
- Tableau and/or Amazon QuickSight
- Modern data stack: dbt, Athena (or equivalent), Airflow (or orchestration tools)
- Demonstrated experience building scalable data models and KPI layers
- Ability to debug issues across the full product and data stack independently
- Strong stakeholder and client-facing communication skills.
Nice to have
- Experience working with healthcare datasets (claims, UM/PA workflows, EMR)
- Prior experience operating in high-change technology startup environments
- Background in healthcare tech, payer, or delegated UM environments
- Experience building metrics/semantic layers
- Exposure to AWS cost and performance optimization
- Experience scaling BI platforms for external/client-facing reporting
- Familiarity with data governance and metric standardization practices
We can’t wait to learn more about you and meet you at Cohere Health!
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.
WHAT YOU'LL DO
- Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
- Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
- Be a data architect for Finance , bring different data into cohesive and answer critical questions
- Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
- Scale data infrastructure to support large volumes and complex financial models.
- Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
- Translate complex financial concepts and KPIs into scalable, maintainable data models.
- Implement strong controls for data quality, lineage, and governance.
- Maintain clear documentation of data transformations, metric definitions, and AI model logic.
- We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
- Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise
- Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
- Experience with data orchestration tools (Airflow, dbt) and tableau platform
- Hands-on experience with Python, PySpark, or R for automation and model integration.
- Proven ability to translate financial logic into scalable data models.
- Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred.
- Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
- Ability to evaluate and apply AI responsibly in financial contexts.
#LI-ONSITE
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Get to know Okta
Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We’re building a world where Identity belongs to you.
The Data Enablement Team
Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.
Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.
The Senior Data Analyst Opportunity
Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.
You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.
What you’ll be doing
- Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
- Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
- Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
- Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
- Deliver executive dashboards and product insights based on foundational productionalized data models
- Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
- Ensure that data privacy and governance is a first priority at all stages of the data lifecycle
What you’ll bring to the role
- 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
- 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
- 5+ years of SQL experience
- Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
- Experience working within a Jira/Agile environment to manage and prioritize technical work.
- Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
- Excellent business acumen and emotional intelligence in ambiguous environments
- BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable
And extra credit if you have experience in any of the following!
- Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
- Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
- Experience with version control systems (e.g., Git) and the Pull Request process.
- Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
- Paywall, subscription or authentication based products
What you can look forward to as an Okta employee!
- Amazing Benefits
- Making Social Impact
- Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
#Hybrid_Bengaluru
#LI_Linkedin P24588_3405678
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
About Okta
At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.
The Opportunity
Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure.
This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta.
What You’ll Do
- Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt.
- Implement components of our security and governance framework to ensure high-compliance and security standards are met.
- Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes.
- Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably.
- Adhere to and champion best practices in code quality, system design, and operational readiness.
- Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs.
What You Bring
- Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms.
- Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform.
- Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack.
- Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features.
- Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions.
What Success Looks Like
- You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features.
- The infrastructure you build is automated, secure, and aligns with the team’s best practices.
- You are a trusted, collaborative, and productive member of the data engineering team.
- Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers.
#LI_Hybrid
P24719_3369503
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.
The Auth0 Data Engineering Team
Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:
- Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
- Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
- Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data
The Senior Data Engineer Opportunity
Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.
What you’ll be doing
- Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
- Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
- Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
- Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
- Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.
What you’ll bring to the role
- 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
- Strong proficiency in SQL for data manipulation and Python for data pipeline development.
- Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
- Hands-on experience with the modern data stack, specifically:
- Data Warehousing: Snowflake
- Data Transformation: dbt
- Infrastructure as Code: Terraform
- Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
- Knowledge of data security and data privacy best practices
- A strong understanding of data modeling principles
- data security best practices.
- A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.
And extra credit if you have experience in any of the following!
- Experience with Snowpark.
- Experience with containerization and orchestration (Kubernetes is a nice to have).
- Familiarity with the Identity Access & Management (IAM) domain.
- Experience building developer-friendly, API-driven applications using REST and/or gRPC.
#LI_Hybrid
P24587_3348467
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.
The Auth0 Data Engineering Team
Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:
- Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
- Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
- Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data
The Senior Data Engineer Opportunity
Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.
What you’ll be doing
- Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
- Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
- Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
- Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
- Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.
What you’ll bring to the role
- 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
- Strong proficiency in SQL for data manipulation and Python for data pipeline development.
- Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
- Hands-on experience with the modern data stack, specifically:
- Data Warehousing: Snowflake
- Data Transformation: dbt
- Infrastructure as Code: Terraform
- Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
- Knowledge of data security and data privacy best practices
- A strong understanding of data modeling principles
- data security best practices.
- A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.
And extra credit if you have experience in any of the following!
- Experience with Snowpark.
- Experience with containerization and orchestration (Kubernetes is a nice to have).
- Familiarity with the Identity Access & Management (IAM) domain.
- Experience building developer-friendly, API-driven applications using REST and/or gRPC.
P24586_3348463
#LI_Hybrid
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Get to know Okta
Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We’re building a world where Identity belongs to you.
The Data Enablement Team
Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation.
Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support.
The Senior Data Analyst Opportunity
Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption.
You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth0 product and developing data products that drive key success metrics. You will have multiple tools and teams at your disposal to achieve the core outcome of creating product and customer insights that help our partners drive value and long-term customer success.
What you’ll be doing
- Partner with peers and leaders in Sales, TAM, Customer Success, Product, Engineering and Program Management to develop scalable measurement strategies for our data assets, products and services
- Drive scalable, semantic data models that can support stakeholders both inside of Auth0 and across the enterprise
- Educate and enlighten data stakeholders with newly available objects and models that will unlock product, revenue, sales and business insights
- Build reusable data models that support key concepts of the business (Entitlement, Activation, Utilization, Engagement, etc.)
- Deliver executive dashboards and product insights based on foundational productionalized data models
- Partner with other analysts to create composite measures and insights that span Auth0 and the enterprise
- Ensure that data privacy and governance is a first priority at all stages of the data lifecycle
What you’ll bring to the role
- 5+ years of experience in analytics, data engineering, or analytics engineering, or product management
- 5+ years of hands-on experience with data visualization tools (Tableau, Looker, Streamlit, PowerBI, Sigma, Omni, etc.)
- 5+ years of SQL experience
- Strong understanding of data lifecycle management including instrumentation, governance, modeling and self-service interfaces
- Experience working within a Jira/Agile environment to manage and prioritize technical work.
- Build relationships with partners and stakeholders to understand product data needs, distill business requirements into technical documentation and prioritize work accordingly
- Excellent business acumen and emotional intelligence in ambiguous environments
- BA or higher, preferred; additional relevant work experience in lieu of a degree is acceptable
And extra credit if you have experience in any of the following!
- Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.)
- Data engineering (Python, dbt, Kafka, Parquet, DuckDB, etc.)
- Experience with version control systems (e.g., Git) and the Pull Request process.
- Proficiency with advanced data skills/code, such as working with Claude code or other LLM-based data analysis tools.
- Paywall, subscription or authentication based products
What you can look forward to as an Okta employee!
- Amazing Benefits
- Making Social Impact
- Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
#Hybrid_Bengaluru
#LI_Linkedin P24589_3405679
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
About Okta
At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.
The Opportunity
Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.
This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta.
What You’ll Do
- Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
- Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.
- Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.
- Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.
- Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.
- Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.
- Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.
- Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.
What You Bring
- Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.
- Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.
- Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.
- Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.
- Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.
What Success Looks Like
- A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
- Robust, automated data governance and security frameworks embedded into the platform's core architecture.
- A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
- Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.
#LI_Hybrid
P24713_3369501
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Sr Analyst, Field Analytics
As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth.
You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy.
Job Duties & Responsibilities:
- Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization.
- Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.
- Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.
- AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.
- Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data & Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives
Required Skills & Qualifications:
- 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model.
- Technical Stack Expertise in SQL (Snowflake), BI Visualization tool (Tableau), and CRM data (Salesforce)
- Practical experience using Generative AI (e.g., GPT, Gemini, or GitHub Copilot) to improve technical productivity.
- A strong "documentation-first" mindset with the ability to create clear, concise technical and functional manuals.
- A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global team.
- Proven ability to translate complex data logic into clear, concise narratives.
Preferred Qualifications:
- Proficiency with scripting (python) & data modeling (dbt)
- Deep understanding of enterprise software sales processes, field operations, and cross functional GTM mechanics.
- Proven ability to operate independently within a global model, taking complex requirements from US-based stakeholders, execute high-quality technical work during India business hours, and provide comprehensive handoffs that allow projects to progress 24/7 without real-time oversight.
#LI-Hybrid
#P24939
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
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POS-30314
HubSpot’s mission is to Help Millions of Organizations Grow Better. HubSpot’s Operations team is core to this goal by supporting the HubSpotters who attract, engage, and delight HubSpot’s customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision-making across Flywheel. Flexible, well-connected, well-architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape.
We believe in the power of data to drive effective decision-making. We leverage data for both day-to-day operations (improving efficiency by surfacing the right data at the right time) and for strategy (fostering deep understanding of what makes our flywheel spin, and projecting how to spin it faster in the future). In this role, you’ll be a member of the Data, Systems, & Intelligence team to design and build a modern data foundation for efficient models and analyses. Your work will directly support analytic and ML products that will change the way we make decisions within Flywheel at HubSpot.
We’re looking for Analytic Engineers with a strong interest in building and maintaining flexible, reusable architecture for our highest value data assets. In this role, you will develop a deep understanding of the business and analytics priorities to create solutions that will unlock our ability to scale and drive actionable insights.
In this role you’ll get to:
- Collaborate with both technical and non-technical areas of the business, bridging the gap between the business problem and the technical solution
- Build out scalable data models to analyze key parts of the HubSpot business
- Establish and uphold technical best practices in maintaining the data infrastructure and and contribute to the company's long term data strategy
- Support distributed operations teams as they utilize these foundational data models for reporting
- Perform complex root cause analysis of problems and subsequently, makes and implements recommendations to prevent future occurrences
- Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
- Scope requirements with internal stakeholders and lead working groups to usher projects through their entire lifecycle while building clear roadmaps for cross-functional team members
- Learn from our team of Analytics engineers, as well as HubSpot’s greater AE community
- Mentor and upskill other analytics engineers to create an inclusive team environment while promoting diversity, inclusion and belonging
We are looking for people who have:
- Several years of hands-on SQL experience, relational databases, and data modeling
- Ability to document technical design documents and organizational skills
- Proven communication skills and ability to bridge between business leaders, engineers, and data scientists
- Experience distilling complex ideas and data for both executives and front-line reps
- Creative problem solving skills to identify flexible solutions to business questions
- Insatiable curiosity and interest in learning new things
- Snowflake, dbt, and/or Looker experience is a plus
Role
Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. HubSpot is a place where everyone can grow. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work through. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #1 Best Place to Work on Glassdoor in 2020, and has been recognised for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Please see HubSpot's Recruiting Privacy Notice for more information.
We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need accommodations or assistance due to a disability, please reach out to us using this form.
At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
India Applicants: link to HubSpot India's equal opportunity policy here.
About HubSpot
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.
At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
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HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.
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Senior Manager - Platform & Architecture
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About the role:
As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.
You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.
The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.
Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.
What you'll do:
Strategic Leadership & Architecture Vision
- Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
- Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
- Guide architectural decisions to support scalability, performance, security, and future growth.
- Evaluate and approve new data technologies, platforms, and tools
Team Management & Development
- Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
- Set goals, conduct performance reviews, and support career growth and skills development
- Ensure effective workload planning, prioritization, and resource allocation
- Promote a culture of collaboration, documentation, and architectural discipline
Data Platform & Architecture Design
- Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
- Define scalable patterns for batch, near real time, and streaming data processing
- Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
- Ensure platform reliability, performance, scalability, and cost optimization
Platform Engineering, Security & Governance
- Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
- Collaborate with security and compliance teams to meet regulatory and data privacy requirements
- Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
- Support platform monitoring, availability, and operational excellence
Advanced Analytics & Innovation
- Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
- Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
- Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
- Assess emerging technologies for scalability, security, integration, and business value
Self-Service & Data Enablement
- Drive the self-service analytics strategy to empower analysts and business users
- Design curated, governed data layers and semantic models for trusted self-service access
- Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
- Partner with stakeholders to align data products with business needs
Experience you'll need:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
- 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
- Strong experience designing and implementing modern data architectures and cloud data platforms.
- Hands-on and architectural experience with:
- Snowflake or similar cloud data warehouse/data lake experience
- Tableau or similar BI tools
- Fivetran or equivalent ingestion tools
- dbt or similar data transformation frameworks
- Proficiency in SQL, Python, Spark, and data modeling techniques.
- Experience with cloud platforms such as AWS, Azure, or GCP
Preferred Qualifications:
- Experience with advanced analytics, forecasting, and predictive modeling.
- Knowledge of ML/AI platforms and MLOps concepts.
- Strong understanding of data security, governance, and compliance frameworks.
- Excellent communication and stakeholder management skills.
- Experience working in large-scale or enterprise Data & Analytics environments.
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
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Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
-
Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
-
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
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Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
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About Liberis
Liberis was founded and is backed by Blenheim Chalcot.
Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning.
The Team
We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business.
The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Analyst/Senior Credit Risk Analyst to join us on this journey.
The Role
You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit.
Reporting to the Senior Manager in the Risk Management team you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite.
You should have experience in a similar analytical role where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders.
What you’ll be doing
1. Risk Data Architecture & Structuring
- Design and maintain scalable credit risk data marts and portfolio datasets.
- Define and document data definitions, schemas, and maintain metric logic for key risk indicators (e.g. delinquency, roll rates, vintage curves, loss metrics).
- Partner with Data Engineering to optimise warehouse structures (Snowflake/BigQuery/Redshift or equivalent) and to improve the accuracy, consistency, and automation of risk reporting processes.
- Ensure consistency and governance across risk, finance, and commercial datasets.
- Validate and reconcile underlying data sources, ensuring data quality standards are upheld.
- Use data to ensure the execution of our strategy is in line with expectations with the right governance, control, and monitoring.
2. Building scalable Reporting & Automation layer
- Build reusable reporting layers that scale as origination volumes and product complexity increase.
- Create self-serve reporting environments for risk stakeholders while maintaining control frameworks.
- Prepare reporting and datasets for new initiatives on an ad-hoc basis and deep-dive insights required by Risk, Finance, and executive and senior leadership.
- Create ability to do data mining by the rest of the risk team.
- Bring visibility to more datasets that will support risk team’s day-to-day analytics and operational management towards SLAs
3. Supporting Portfolio Monitoring & Analytical Frameworks (Build scalable monitoring frameworks covering as below)
- Portfolio performance tracking
- Early warning indicators
- Concentration and exposure monitoring
- Vintage and cohort analysis
- Stress and sensitivity views
- Ensure reporting can flex across products, segments, and funding structures.
4. Ensuring Data Quality, Controls & Governance
- Implement validation checks and automated reconciliations within reporting pipelines.
- Own data integrity across risk reporting outputs.
- Develop monitoring for data drift and structural anomalies.
- Support internal audit and regulatory reviews with well-documented reporting logic and traceability.
- Closely collaborate with colleagues across Liberis, especially in the Engineering, Analytics, Product, Growth, Partnerships, and UK/US/European teams.
What we think you’ll need
- Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Engineering or related quantitative discipline.
- 2-4 years experience in data management, building data marts or database maintenance.
- Strong affinity to build deep understanding of data flows and build re-usable datasets for the end-analytical users. Experience in a similar data role is a must.
- Demonstrated ability to drive high-quality analysis, with a robust understanding of how this will be used practically.
- Advance level proficiency and strong experience with databases management and analytical data product creation; Minimum 1 year of experience with Google Cloud Platform tools such as Looker, DBT, and BQ would be a must-have (minimum 6-months exp)
- Intermediate level proficiency in Excel and at least one BI/data visualisation tool (e.g.,Power BI, Tableau, Looker).
- Advanced SQL proficiency - ability to write complex queries independently across large datasets
- Ability to convey complex findings in a logical and easy-to-understand style.
- Turns rigorous analysis into clear, reasoned recommendations.
- Excellent analytical and problem-solving skills with strong attention to detail (must-have)
- Clear communicator with ability to explain complex data insights to non-technical stakeholders.
- Strong judgement, with the ability to make trade-offs between what is desired and what is feasible.
- Comfortable working in a fast-moving, ambiguous, and changing company.
- Experience working cross-functionally with engineering, risk, operations, and finance teams.
- A collaborative mindset and willingness to work with a wide range of teams.
Experience in lending analytics or fintech credit products. - Understanding of credit risk metrics and frameworks (PD/LGD/EAD) and lending
Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.
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Staff AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
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Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- A collaborator who values teamwork and knowledge-sharing
- Excited by the intersection of technology, creativity and data
- Experienced in Agile methodologies and consulting (a plus)
Role responsibilities
- Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
- Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
- Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
- Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
- Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
- Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
- Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
- Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
- Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
- Lead technical workshops and requirements-gathering sessions with client technical and business teams
- Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
- Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
- Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
- Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
- Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
- Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
- Ensure GDPR/data residency compliance is embedded into solution design from the outset
- Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
- Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
- Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients
Must have qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification
- Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
- BigQuery — advanced SQL, partitioning, clustering, cost optimization
- Cloud Storage, Cloud Functions, Cloud Run
- Dataflow (Apache Beam) — batch & streaming pipelines
- Cloud Composer / Airflow — DAG authoring and management
- Pub/Sub — event-driven architectures
- Vertex AI — model serving and Pipelines exposure
- IAM, VPC, Org Policies — security and governance
- Cloud Build / Artifact Registry — CI/CD and containerization
- Terraform — infrastructure as code on GCP
- Looker / Looker Studio — reporting layer familiarity
- PySpark — DataFrame API, optimization, broadcast joins
- Delta Lake — ACID transactions, time travel, Z-ordering
- Unity Catalog — governance, lineage, access control
- Databricks Workflows / Job orchestration
- Databricks on GCP — cluster config, instance pools
- MLflow — experiment tracking, model registry
- dbt on Databricks or BigQuery
- Databricks Asset Bundles / CI/CD integration
- Python — data engineering and scripting proficiency
- SQL — advanced analytical queries
- Git / version control — branching, PR workflows
- Docker — containerization basics
- Unit testing and data pipeline testing practices
- REST API integration patterns
Nice to have qualifications
- Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
- Familiarity with commercetools, Contentful, or other composable commerce/content platforms
- Exposure to Salesforce Marketing Cloud data connectors or CDPs
- Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
- Experience with Databricks Agent Framework or LangChain for agentic AI workloads
- Apache Kafka or Confluent Cloud for event streaming architectures
- Google Cloud Professional Machine Learning Engineer
- HashiCorp Terraform Associate.
- Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a Full Time position based in Bengaluru
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
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Apply to Valtech
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ YEARS of experience, a growth mindset and a drive to make a lasting impact.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- A collaborator who values teamwork and knowledge-sharing
- Excited by the intersection of technology, creativity and data
- Experienced in Agile methodologies and consulting (a plus)
Role responsibilities
- Define and document the end-to-end target-state data architecture for enterprise client programmes — covering ingestion, storage, transformation, serving, and consumption layers
- Establish domain-driven data architecture boundaries aligned to business domains (e.g. Product, Customer, Order, Finance) using Domain-Driven Design (DDD) principles
- Lead architecture design sessions with clients to align on technology choices, topology, and migration sequencing
- Produce architecture artefacts to a consultancy standard: C4 diagrams, data flow diagrams, architecture decision records (ADRs), and technology selection rationale documents
- Evaluate and recommend GCP-native vs. third-party component trade-offs — with clear cost, scalability, and maintainability justification
- Define and enforce enterprise data modelling standards across the programme — covering 3NF (operational layer), dimensional modelling (Kimball star/snowflake for analytics), and Data Vault 2.0 (historized, auditable Lakehouse layers) as appropriate
- Establish canonical data models for core business domains — ensuring consistency across squads and brands or business units
- Design and govern the metadata framework: schema standards, naming conventions, entity definitions, data dictionaries, and lineage documentation
- Oversee data contract design between producing and consuming domains — defining SLAs, schemas, versioning, and change management protocols
- Ensure models are optimized for the target query engine — BigQuery partitioning/clustering strategies, Delta Lake Z-ordering, and Databricks Photon engine considerations
- Design reusable, domain-oriented data product patterns — encapsulating ingestion, transformation, quality, and serving logic as deployable, versioned units
- Define the data product interface contract: output ports (APIs, tables, streams), SLOs, ownership, and discoverability metadata in Unity Catalog or Dataplex
- Establish a data product taxonomy aligned to business capability domains — enabling a self-serve data mesh posture for mature clients
- Create accelerators and reference implementations that mid-level engineers can adopt — reducing bespoke build and enforcing consistency
- Collaborate with Data Science and Analytics Engineering teams to ensure feature stores and ML feature pipelines are aligned to the broader data product architecture
- Drive data governance strategy across the programme — defining policies for data classification, access control, retention, and quality thresholds
- Design the governance operating model: data stewardship roles, data ownership accountability (domain owners vs. platform owners), and escalation paths
- Define the data release sequencing strategy — prioritizing domains and data products based on business value, dependency mapping, and technical readiness
- Establish lifecycle management policies for schema evolution, deprecation, and backward compatibility — enforced through Unity Catalog or equivalent cataloguing tooling
- Implement or oversee data quality frameworks (Great Expectations, dbt tests, Databricks Delta constraints) aligned to governance thresholds
- Provide hands-on architectural oversight during foundational delivery phases (Milestone 1 and equivalent programme gates) — ensuring the build conforms to the agreed architecture and standards
- Conduct architecture reviews and code/design walkthroughs with engineering squads — identifying deviations, technical debt, and remediation paths
- Chair Architecture Review Board (ARB) sessions with client technical leadership — presenting architecture decisions, trade-offs, and risk assessments
- Define and track architecture fitness functions — measurable criteria that validate the architecture is being implemented correctly across squads
- Serve as the escalation point for cross-squad architectural decisions, integration conflicts, and technology blockers
- Lead client architecture workshops, data strategy sessions, and roadmap definition exercises at executive and technical levels
- Produce and present strategic client-facing artefacts: Data Platform Vision documents, Architecture Blueprints, Governance Frameworks, and Capability Roadmaps
- Contribute to pre-sales and bid activities — leading the data architecture strand of RFP/RFI responses, solution sizing, and pitch presentations
- Represent Valtech's data architecture capability externally — through client advisory conversations, partner events, and thought leadership content.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
- 10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
- Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
- 3NF — operational and transactional layer design
- Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
- Data Vault 2.0 — hubs, links, satellites, business keys
- Data mesh & domain-oriented data product design
- Architecture Decision Records (ADRs) and C4 modelling
- Data contract design — schema, SLAs, versioning
- Data catalogue & metadata management design
- Data quality framework design and governance policy
- BigQuery — advanced design, partitioning, clustering, BI Engine
- Dataflow (Apache Beam) — streaming and batch architecture
- Cloud Composer / Airflow — orchestration design
- Pub/Sub — event-driven data product patterns
- Dataplex — data cataloguing, lineage, data quality
- Vertex AI Pipelines — ML feature pipeline integration
- Cloud Storage — data lake zone design (raw/curated/serving)
- Terraform — IaC standards and landing zone design
- Databricks Lakehouse — medallion architecture, zone design
- Delta Lake — ACID, time travel, schema evolution, Z-ordering
- Unity Catalog — governance, lineage, access control, data products
- Databricks Workflows and Asset Bundles — lifecycle automation
- PySpark — advanced optimization, broadcast, AQE, dynamic pruning
- dbt on Databricks — transformation layer standards
- Databricks on GCP — cluster policy, instance pools, cost governance
- MLflow — model registry integration with data product layer
- Unity Catalog — fine-grained access, row/column security
- Dataplex — data mesh governance on GCP
- Data lineage — column-level lineage design and tooling
- GDPR, data residency, and privacy-by-design principles
- Data stewardship operating models
- Metadata standards — Dublin Core, OpenLineage, OpenMetadata
- Google Cloud Professional Data Engineer or Professional Cloud Architect certification
- Databricks Certified Professional Data Engineer or Databricks Certified Associate Developer for Apache Spark
- TOGAF, Zachman, or equivalent enterprise architecture framework certification.
Nice to have qualifications
- Azure Synapse / Microsoft Fabric — cross-cloud architecture experience
- Apache Iceberg or Apache Hudi — open table format evaluation and migration experience
- Event-driven architecture — Apache Kafka, Confluent Cloud, or Pub/Sub advanced patterns
- Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
- Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
- Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
- OpenMetadata or Collibra — enterprise-grade data catalogue implementation
- Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
- Google Cloud Professional Machine Learning Engineer
- CDMP (Certified Data Management Professional) — DAMA certification
- HashiCorp Terraform Associate
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a Fulltime position based in Bengaluru.
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
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Licensed Mental Health Therapist
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Why Charlie Health?
Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.
Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.
As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.
MUST HOLD AN INDEPENDENT OR ASSOCIATE LICENSURE IN INDIANA
Licenses Accepted: LSW, LMHCA, LMFTA, LCSW, LMHC, LMFT
Work Type: 100% Remote (W-2)
At Charlie Health, we prioritize an exceptional employee experience. Our Operations team handles all of the administrative complexities, so our clinicians can focus on what they like to do best: providing high-quality mental health care.
We also believe clinicians deserve an exceptional compensation and benefits package.
Compensation
- Full-Time Salary: $75,000-$85,000
- Part-Time Rate: $48-$62/hour
- Signing Bonuses!
Benefits
- 401(k) with matching
- Medical, dental, and vision insurance
- Wellness stipend
- Free online CEUs
- Malpractice liability insurance
- PTO (vacation, sick time, select federal holidays)
- Reimbursement for new license applications
- Opportunity for cross-licensure sponsorship (if eligible)
- Transparent scheduling- know your schedule ahead of time
- Dedicated operational, HR, and IT support
- Complimentary yoga sessions
- 24/7 Employee Assistance Program
The Provider Experience at Charlie Health:
- Flexibility: Work from home or anywhere. We are 100% remote!
- Consistency: We will make sure to keep your calendar as full as you want it to be. You can expect predictable weekly schedules and steady caseloads
- Support: Full-time Admissions & Assessment team so that our talented clinicians can focus on providing exceptional care to our clients.
- Collaboration: All clinicians participate in case discussions, allowing you to leverage the expertise of others to develop new skills and perspectives.
- Client Relationships: With a maximum of 8 clients in a group, we allow you the opportunity to build strong relationships with clients and do in depth work to create sustainable healing.
- Free CEUs: Ongoing professional development
About the Role
Charlie Health is hiring a few exceptional Licensed Mental Health Therapists/Counselors to provide remote, telehealth services to our adolescent and young adult clients. We’re eager to work with forward-thinking mental health and substance use professionals to enhance our programming and provide the best possible care to our clients.
Provide telehealth services to adolescents and young adults in a virtual setting. Positions available as part-time or full-time W-2.
- Part-Time: Minimum 12 hours/week; flexible scheduling
- Full-Time: 40 hours/week; evening and Saturday availability required
About You
- Well versed and confident integrating multiple modalities (DBT, CBT, EMDR, MI certification a plus)
- Experienced with teens and young adults
- Passionate and skilled in group services
- Collaborative, creative, and engaging on video
- Available evenings to meet client needs
- Committed to self-care and addressing the rural mental health crisis
Qualifications
- Licensed or pre-licensed mental health clinician (all disciplines welcome)
- Master’s degree in mental health or related field
- Experience with youth/young adults highly preferred
- Availability between 12-40 hours/week depending on part-time or full-time W2
- Familiar with cloud-based tools (Gmail, Slack, Zoom, Dropbox), EMR, and outcomes software #LI-Remote
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all teens and young adults.
Our Values
- Connection: Care deeply & inspire hope.
- Congruence: Stay curious & heed the evidence.
- Commitment: Act with urgency & don’t give up.
Please do not call our public clinical admissions line in regard to this or any other job posting.
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.
Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service.
By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
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About Us
Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.
G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .
Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.
About The Position:
We’re building GIA — AI for General Counsel, in-house legal teams, and HR teams. GIA is a startup that demands extreme ownership, relentless execution, and zero tolerance for waiting on someone else to make the call. This role sits at the intersection of data science, data engineering, and product analytics. You build the pipelines, run the analysis, train the models, and — most importantly — tell us what the data means for the product. Not dashboards for the sake of dashboards. Insights that change what we build next.
What You Will Do:
- Build and own data infrastructure — pipelines, warehousing, ETL/ELT, data quality; make sure the foundation is solid
- Analyze product usage and user behavior — identify patterns, segment users, surface what matters from the noise; think like a product person, not just a data person
- Build models that ship — LLM-based systems, traditional ML (classification, clustering, NLP), evaluation frameworks; whatever the problem needs
- Define and track the metrics that matter — activation, retention, engagement, PQLs; connect data to product and GTM decisions
- Run experiments and measure impact — A/B tests, causal analysis, cohort studies; rigorous but fast
- Turn data into product conviction — you don’t just hand off charts, you tell the team what to do and why
What We Are Looking For:
Minimum Requirements:
- 5+ years across data science, data engineering, and analytics — you do all three, not just one
- Strong SQL and Python — complex queries, data modeling, scripting, analysis; this is your daily toolkit
- Databricks or equivalent modern data platform experience (Snowflake, BigQuery)
- LLM experience — fine-tuning, prompt engineering, embeddings, RAG, evaluation; not just API calls
- Traditional ML depth — classification, regression, clustering, NLP, feature engineering; you pick the right tool for the problem
- Product mindset — you filter signal from noise, understand user behavior, and connect analysis to product decisions
- Pipeline engineering — you build reliable, scalable data pipelines, not notebooks that break in production
- Clear communicator — you present findings to non-technical stakeholders with clarity and conviction
Preferred Qualifications:
- Experience at an early-stage startup or as a founding data hire
- Built product analytics from scratch — instrumentation, event taxonomy, dashboards, self-serve reporting
- Legal or HR domain experience
- Experience with LLM evaluation and observability (tracing, scoring, drift detection)
- Familiar with dbt, Airflow/Dagster, Spark, or similar orchestration and transformation tools
How we evaluate
- Give you a real dataset and ask what you’d do with it — we want product thinking, not just technical chops
- Walk us through a time your analysis changed a product decision
- Design a data pipeline or model architecture on the whiteboard
- Show us how you’d instrument and measure a new feature from scratch
Interested? Reach out with an example of an insight you uncovered that changed what a team built.
Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:
- Sales Roles: This position is eligible for a commission structure in addition to base salary.
- Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
Benefits
G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more.
Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:
G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job.
G-P. Global Made Possible.
G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.
G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.
Ready to apply?
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Syndigo powers the continual flow of data and content throughout the entire commerce ecosystem— accelerating delivery of accurate and compelling information that increases sales on every shelf. We are the recognized leader in software and services for the management of master data, product information, digital assets, and content syndication and analytics across industries including grocery, foodservice, hardlines, home improvement, oil & gas, pet, health and beauty, automotive, apparel, and healthcare products.
Syndigo serves the industry’s largest two-sided network, connecting more than 50,000 global users across 12,000+ global brands with more than 1,750 global retailers.
Basically, we're the people that deliver the rich, accurate product content that helps consumers shop online with confidence, and helps brands and retailers operate efficient product supply chains. We cannot do all of this without our amazing employees who make the magic happen here at Syndigo. As we continue to grow, we’re always looking to identify talented individuals to join our team.
**This is a hybrid role, requiring 2 days per week in our Bangalore office**
Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.
HOW WE’LL BE WINNING TOGETHER DAY TO DAY
- Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
- Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
- Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
- Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
- Assess, identify, and mitigate common issues in the operations of the software suite preemptively
- Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
- Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
- Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
- Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling
WE SHOULD TALK IF THIS SOUNDS LIKE YOU
- 10+ years of software development experience
- 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
- 3+ years of experience designing and implementing solutions with AWS
- 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
- 5+ years of experience developing APIs for front-end applications
- 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
- 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
- 3+ years of experience leveraging infrastructure as code using Terraform
- Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
- Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
- Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
- Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
- AWS Solutions Architect Associate Certification (preferred but not required
- BS degree in Computer Science, a similar technical field, or equivalent practical experience
Diversity, Equity & Inclusion
To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating.
Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!
All are welcome here and we invite you to join our team if you are ready to help us continue that growth!
GDPR/CCPA
Syndigo, to process applications, holds onto data for a "reasonable time" after applications are submitted. This data is stored for Syndigo's internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.
Syndigo Job Applicant Privacy Notice
At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.
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Senior Database Engineer III - Bangalore
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Senior Database Engineer III (MySQL) – Production Reliability & Platform Engineering
Location : Bangalore
Work Timings: 2 PM to 11 PM IST
LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.
Job Description: Senior MySQL Database Engineer - 8+ Years Experience.
Please apply only if you have 8 plus years of experience. Profiles with less than 8 years of experience will be rejected.
Position Overview:
We are seeking a Senior MySQL Database Engineer (L3) with 8+ years of experience managing large-scale production database environments. This role combines deep technical expertise with strategic thinking, focusing on production reliability, platform engineering, automation, and architectural evolution.
The ideal candidate will be a technical leader who can design scalable database solutions, mentor team members, drive automation initiatives, and own complex production systems. You will work with CloudSQL on GCP, lead migration projects, implement SRE best practices, and collaborate across engineering teams to ensure database reliability at scale.
This role includes participation in 24/7 on-call rotations to ensure continuous support for our critical MySQL infrastructure.
Responsibilities:
Production Reliability & Platform Engineering
- Own and architect high-availability MySQL database platforms supporting critical business systems.
- Design and implement multi-region replication strategies, disaster recovery architectures, and zero-downtime migration patterns.
- Lead incident response for critical database outages, coordinate cross-functional teams, and drive post-incident reviews.
- Define and track database SLIs/SLOs, establish reliability metrics, and implement continuous improvement programs.
- Drive capacity planning at scale, forecast growth patterns, and architect for horizontal and vertical scaling.
- Establish database standards, operational runbooks, and best practices across the organization.
Automation & Infrastructure as Code
- Lead automation initiatives to eliminate toil and improve operational efficiency.
- Design and implement database provisioning platforms using Terraform and configuration management tools.
- Build self-service workflows for database creation, schema migrations, and routine operations.
- Architect and implement GitOps-driven database deployments integrated with CI/CD pipelines.
- Develop custom tooling and automation frameworks for database operations (Python, Go, or Bash).
- Drive adoption of infrastructure as code practices across database teams.
Cloud & Hybrid Architecture
- Lead CloudSQL (GCP) operations at scale, including advanced configurations, HA setups, and cross-region deployments.
- Design and execute cloud migration strategies from on-premises to GCP (or hybrid architectures).
- Implement multi-cloud or hybrid-cloud database strategies where applicable.
- Optimize cloud costs through right-sizing, reserved instances, and architectural improvements.
- Work with GCP native services (Cloud Monitoring, Secret Manager, VPC, IAM) for secure and scalable deployments.
Performance Engineering & Optimization
- Lead performance engineering initiatives including query optimization, indexing strategies, and schema design reviews.
- Conduct advanced troubleshooting of complex performance issues across application and database layers.
- Perform deep-dive analysis using tools like pt-query-digest, Percona Toolkit, and performance_schema.
- Design database sharding and partitioning strategies for scalability.
- Review and optimize backup/restore strategies for RTO/RPO requirements.
Observability & Reliability Engineering
- Design and implement comprehensive monitoring and alerting frameworks (Prometheus, Grafana, Cloud Monitoring).
- Build custom dashboards and SLO tracking for database reliability metrics.
- Implement proactive monitoring to detect issues before they impact production.
- Establish observability standards including logging, tracing, and metrics collection.
Technical Leadership & Mentorship
- Mentor L1/L2 database engineers on technical skills, troubleshooting methodologies, and best practices.
- Conduct code reviews, design reviews, and knowledge-sharing sessions.
- Drive technical decision-making for database architecture and tooling choices.
- Collaborate with application teams, SRE teams, and platform engineers on cross-functional projects.
- Represent database engineering in architectural discussions and technical forums.
Distributed Systems & Data Infrastructure (Good to Have)
- Work with Elasticsearch for search and analytics workloads.
- Support Kafka-based data pipelines and event-driven architectures.
- Integrate databases with Kubernetes-based application platforms.
- Collaborate on data platform initiatives involving data lakes, streaming, and analytics.
Required Qualification:
- 8+ years of hands-on MySQL DBA/Engineering experience in production environments.
- Expert-level knowledge of MySQL architecture, replication (async, semi-sync, GTID), performance tuning, and troubleshooting.
- 4+ years managing Cloud SQL on GCP, including HA configurations, read replicas, and backup strategies.
- 4+ years of Infrastructure as Code experience (Terraform strongly preferred), including module development and state management.
- 4+ years with configuration management tools (Ansible, Chef, or Puppet) in production environments.
- Proven experience building and maintaining CI/CD pipelines for database changes and schema migrations.
- Strong programming/scripting skills (Python, Bash, or Go) for automation and tooling development.
- Deep Linux system administration skills and understanding of OS-level performance tuning.
- Experience with monitoring and observability tools (Prometheus, Grafana, ELK, or similar).
- Demonstrated leadership in incident response, including on-call rotations and post-mortem facilitation.
- Experience supporting large-scale production systems with strict uptime requirements (99.9%+).
Preferred Qualifications:
- Production experience with Elasticsearch (cluster management, indexing strategies, performance tuning).
- Hands-on experience with Kafka (topics, partitions, consumer groups, integration patterns).
- Led or participated in large-scale cloud migration projects (on-prem to cloud or cloud-to-cloud).
- Experience with Kubernetes and containerized database workloads (StatefulSets, operators).
- Familiarity with PostgreSQL or other RDBMS platforms.
- Experience with database security (encryption, IAM, audit logging, compliance).
- Knowledge of distributed databases or NoSQL systems (Cassandra, MongoDB, etc.).
- Exposure to data engineering tools (Airflow, dbt, Spark) and modern data architectures.
- Certifications: GCP Professional Database Engineer, MySQL Certification, or equivalent.
Benefits:
- Personal time off 15 days - Casual (6) days & Sick Days (6)
- Medical Insurance: 8 Lakhs Family Floater that covers employee, spouse, 3 children and parents or In-laws
- Group Personal Accident: 3x of the employee’s Gross Salary
- Group Term Life: 3x of the employee’s Gross Salary
- Volunteering Days – Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.
Financial & Growth
- Employee Stock Program (ESPP): Participate in our Employee Stock Participation Program and receive a discount on company shares, allowing you to share in LivePerson's success.
- Learning & Development: We actively support your professional journey with robust programs for growth and learning development, including allocated stipends, ensuring you reach your full potential.
Why You’ll Love Working Here
As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.
Belonging at LivePerson
We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer. We believe that diverse perspectives drive innovation.
Accessibility Commitment
LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable adjustments to job applicants with disabilities. Applicants who require a reasonable adjustment for any part of the application or hiring process should inform their recruiting contact upon initial connection.
Important Candidate Notice
The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.
Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address.
LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com
Ready to apply?
Apply to LivePersonAbout WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Senior Data Engineer
This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.
WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.
The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.
As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates, QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution, adhering to technical standards and best practices, and contributing to the documentation of custom work.
In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.
Some of the things we’d like you to do:
- Deploy data collectors in Adverity to gather data from media, agency system, and other sources
- Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution
- Support the translation of user requirements and business needs into technical specifications
- Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
- Monitor automated jobs, troubleshooting data issues as-and-when they arise
- Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
- Serve as a technical and professional leader for junior staff
- Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
- Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
- Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.
A bit about yourself:
Required
- Bachelor degree in Science or Engineering
- 3+ years’ experience (professional or academic) in data engineering, preferably handling advertising media or marketing data
- Professional experience with SQL, preferably deployed via DBT
- Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data
- Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way
- Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood
- An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it
- Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability
Desirable
- Previous experience working with data and technology
- Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc.
- An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors)
- Experience using or building reports with business intelligence software, ideally Microsoft PowerBI
- Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org)
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP Media
Senior Data Engineer
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About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.
Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.
About the role
We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.
You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.
Your day to day :
- Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
- Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
- Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
- Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
- Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
- Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
- Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
- Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
- Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
- Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.
What you bring to the team :
- Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
- 5+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
- Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
- Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
- Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
- Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
- Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
- Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
- Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
- Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
- Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
- Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.
What we would like to see but not required:
- Experience in large-scale healthcare or payer data environments.
What you’ll get in return :
- Competitive Leave & Benefits
- Comprehensive health coverage
- Equity for every employee – share in our success
- Growth-focused environment – your development matters here
Work arrangements :
- Standard hours: 8 hours/day, 5 days/week
- Location: Pune, Hybrid (3 days a week in office)
- Shift: 12pm-9pm IST
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
Ready to apply?
Apply to Abacus Insights
At Skillsoft, we believe skills fuel growth. Our mission is to empower every organization and every learner to turn constant change into continuous growth. As part of the team, your skills will help organizations understand what skills they have, what they need next, and how to apply them in ways that drive real performance and progress.
Skillsoft are seeking an experienced Data Engineer who is excited to grow in their professional development. This is a hands-on technical role suited for someone who is comfortable writing and debugging code, eager to deepen their expertise in data engineering patterns, and looking to grow toward independent technical ownership over the next one to two years.
REPONSIBILITIES:
Data Engineering - 60%
- Develop and maintain ETL/ELT pipelines using PySpark and Python in Databricks
- Build and extend data transformations across Bronze, Silver, and Gold layers of the medallion architecture
- Write well-structured, readable, and testable code following team standards and review feedback
- Troubleshoot and resolve data pipeline failures, with escalation to senior engineers for complex issues
- Contribute to pipeline documentation including data flow diagrams and inline code comments
- Write and optimize T-SQL queries, stored procedures, and views in SQL Server
- Support data loads and transformations that feed the SQL Server data warehouse
- Assist in identifying and resolving query performance issues with guidance from senior engineers
- Apply basic indexing knowledge and understand schema design patterns used by the team
Data Quality & Testing – 30%
- Write unit tests and data quality checks for pipelines developed or modified
- Use established data quality frameworks and tooling consistent with team standards
- Investigate and escalate data anomalies or quality issues found in pipelines
Collaboration & Communication – 10%
- Participate in code reviews — both receiving and providing constructive feedback as skills develop
- Collaborate with teammates during sprint planning, standups, and retrospectives
- Communicate blockers and progress clearly to your manager and team
- Work with data analysts and other stakeholders to understand requirements for assigned work
SKILLS & QUALIFICATIONS REQUIRED:
- 2–4 years of professional data engineering experience with a Bachelor's degree
- Proficiency in SQL — comfortable writing multi-table joins, window functions, and subqueries
- Working knowledge of Python for data processing tasks
- Exposure to Databricks, Apache Spark, or PySpark in a professional or academic setting
- Familiarity with cloud data storage concepts; experience with Azure or ADLS a plus
- Understanding of ETL/ELT principles and data pipeline design
- Comfort using Git for version control and working within a collaborative branching workflow
PREFERRED EXPERIENCE:
- Hands-on experience with the medallion architecture (Bronze / Silver / Gold) pattern
- Experience with Delta Lake or similar table formats (Iceberg, Hudi)
- Familiarity with SQL Server, including T-SQL and stored procedure development
- Exposure to CI/CD pipelines and automated testing in a data context
- Experience with a data quality or transformation framework such as dbt or Great Expectations
- Familiarity with Azure services beyond ADLS (e.g., Azure Data Factory, Azure DevOps)
MORE ABOUT SKILLSOFT:
Skillsoft (NYSE: SKIL) is a global leader in AI-native skills management for the human + AI era. By unifying learning, real-time skills intelligence, and workforce insights, Skillsoft helps enterprises build their Skillforce™ — humans and AI working together to drive measurable business outcomes. Through personalized, interactive learning across leadership, technology, and compliance, Skillsoft enables organizations to close critical skill gaps and accelerate transformation. Skillsoft is trusted by thousands of organizations worldwide, including 60% of the Fortune 1000, and supports a global community of more than 105 million learners. Learn more at skillsoft.com.
Thank you for taking the time to learn more about us.
If this opportunity intrigues you, we would love for you to apply!
NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.
Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.
Ready to apply?
Apply to Skillsoft
Senior AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Senior AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
- Reliable, high-quality data is the fuel that propels AI-powered data engineering.
- AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
- We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
About dbt Labs
Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt has become an open-source standard, used by over 50,000 companies worldwide to transform data in their warehouses. Our work shapes how modern data teams operate, and we're now extending that impact from transformation into the semantic layer — the foundation for trusted, governed metrics across every analytics and AI workflow.
We're building a remote-first, globally distributed team, and we're growing our engineering presence in India to bring senior talent closer to the products defining the future of data.
About the Team
The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications.
This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. You'll work at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business.
About the Role
We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow — designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack.
What You'll Do
- Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others).
- Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack.
- Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem.
- Improve performance, reliability, and observability of metric query execution at scale.
- Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements.
- Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships.
- Mentor other engineers through code review, pairing, and technical guidance.
What You'll Need
- Strong professional software engineering experience, with a strong track record of shipping production systems.
- Deep proficiency in Python, including modern typing, testing practices, and packaging.
- Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries.
- Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines.
- Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility.
- Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members.
- Experience collaborating in a distributed, asynchronous team environment.
Nice to Have
- Prior experience contributing to or maintaining a popular open-source project.
- Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies.
- Background in data warehousing internals, query optimization, or analytical SQL dialects.
- Experience with CI/CD, GitHub Actions, and release engineering for Python libraries.
- Exposure to building developer-facing APIs, SDKs, or CLIs.
Why Join Us
- Impact at scale: Your code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises.
- Open-source ownership: You'll be a public, named maintainer of a foundational project — your work is visible, reviewed, and used by the global data community.
- A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy.
- Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support.
Our Commitment
dbt Labs is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you're excited about shaping how the world's data teams define and share metrics — and you want to do it on a project that's open, ambitious, and used everywhere — we'd love to hear from you.
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
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Apply to dbt Labs
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
As a Staff Full-Stack Engineer at Reltio, you will be a key member of our new Data Quality team, responsible for building a cutting-edge Data Observability platform from scratch. This platform will provide automated profiling and anomaly detection across various data sources, including Cloud Data Warehouses (Snowflake, BigQuery, Databricks, Redshift), dbt, Kafka/streaming, and SaaS applications (SFDC/Dynamics). You will contribute to both the API and UI development, ensuring a robust and intuitive experience. This is an individual contributor role.
Job Duties and Responsibilities:
(IC: Knowledge | Leadership | Communication)
(MGR: Knowledge | People Management & Leadership | Strategic Impact)
● Design, develop, and maintain the Data Observability platform using Python for the agentic and backend services.
● Implement robust and scalable APIs for seamless integration with various data sources
● Collaborate with frontend engineers on UI design and contribute to UI development as needed.
● Collaborate with cross-functional teams to define requirements, design solutions, and ensure the successful delivery of the platform.
● Contribute to the entire software development lifecycle, from conceptualization and design to deployment and ongoing maintenance
● Ensure the platform's performance, reliability, and security through rigorous testing and adherence to best practices
● Mentor junior/middle engineers and contribute to a culture of technical excellence and continuous improvement.
Skills You Must Have:
● 7+ years of experience in enterprise software development, building scalable backend platforms.
● Expert hands‑on experience developing backend services and platform APIs using Python (e.g., FastAPI, Flask, Django).
● Proven track record of delivering high‑quality enterprise SaaS platforms in high‑stakes environments.
● Experience delivering SaaS applications that scale and perform with low latency and high throughput.
● Strong written and verbal communication skills. Proven track record of unit and integration testing with CI/CD as part of your development process.
● Experience working with AI and automation tools to improve productivity and delivery speed (GitHub Copilot, Claude Code, Cursor, VSCode Kilo Code, etc.)
Skills That Are Nice to Have:
● Familiarity with cloud-based development using AWS, Google Cloud Platform (GCP), and/or Microsoft Azure services (such as Lambda, S3, Pub/Sub, Dataflow, or Azure Functions)
● Ability to deliver modern, intuitive UI/UX using React.js (and optionally TypeScript) with minimal guidance.
● Background in Data Quality systems, frameworks, or tools (e.g., profiling, validation, monitoring)
● Experience or understanding of Master Data Management (MDM) concepts, data modeling, and enterprise data integration patterns
● Exposure to containerization and orchestration technologies (Docker, Kubernetes)
● Familiarity with monitoring and observability stacks (Mezmo, Grafana, etc.)
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Data Architect
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Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.
At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.
If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together
Job Title: Data Architect – Snowflake (Medical Devices / Healthcare)
Mode: Contract
Duration: 6 Months (Extendable)
Work Timings: 3pm – 11.30pm IST
Mode of work: Remote-India
Overview
We are looking for an experienced Data Architect with deep expertise in Snowflake to design and manage scalable, secure, and compliant data platforms in a medical device environment. This role will support data-driven initiatives across clinical, regulatory, manufacturing, and commercial domains while ensuring adherence to healthcare regulations and data standards.
Key Responsibilities
- Design and implement enterprise data architecture leveraging Snowflake for structured and unstructured data
- Develop scalable data models, data lakes, and data warehouses to support analytics, AI/ML, and reporting
- Define and enforce data governance, security, and compliance frameworks (HIPAA, FDA, GDPR)
- Architect data pipelines and ETL/ELT processes using modern tools (e.g., Snowpipe, dbt, Informatica, Azure Data Factory)
- Collaborate with cross-functional teams (Engineering, Clinical, Regulatory, Quality, and Business stakeholders)
- Ensure data integrity, lineage, and traceability aligned with medical device standards (e.g., ISO 13485, GxP)
- Optimize Snowflake performance, cost management, and workload management
- Support cloud data architecture (AWS, Azure, or GCP) and hybrid environments
- Enable advanced analytics, including AI/ML and real-world evidence (RWE) use cases
- Establish best practices for data lifecycle management (ingestion, storage, archival, and retention)
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
- 8+ years of experience in data architecture, data engineering, or related roles
- Strong hands-on experience with Snowflake architecture and optimization
- Expertise in data modeling (dimensional, normalized, and data vault)
- Experience with SQL, Python, and data pipeline orchestration tools
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience in regulated industries (medical devices, pharmaceuticals, or healthcare)
Preferred Qualifications
- Knowledge of medical device data standards and regulatory frameworks (FDA 21 CFR Part 11, ISO 13485, IEC 62304)
- Experience with healthcare data standards (HL7, FHIR, DICOM)
- Exposure to clinical, imaging, or diagnostic data systems
- Experience with data cataloging and governance tools (Collibra, Alation, Informatica)
- Snowflake certifications (SnowPro Core, SnowPro Advanced)
- Experience with streaming data platforms (Kafka, Event Hubs)
Key Skills
- Strong architectural thinking and system design skills
- Data governance and compliance mindset
- Ability to translate business needs into scalable data solutions
- Cross-functional collaboration and stakeholder management
- Performance tuning and cost optimization in Snowflake
- Problem-solving with a focus on data quality and reliability
📩 Interested candidates may share their updated resumes to:
srikanth.kunchala@neweratech.com
New Era Technology, LLC., and its subsidiaries (“New Era” “we”, “us”, or “our”) in its operating regions worldwide are committed to respecting your privacy and recognize the need for appropriate protection and management of any Personal Data that you may provide us. In this, we are also committed to providing you with a positive experience on our websites and while using our products, services and solutions (“Solutions”).
View our Privacy Policy here https://www.neweratech.com/us/privacy-policy/
We never ask candidates to pay any fees at any point in our hiring process. If you are ever asked to provide payment for training, certification, equipment, or any other purpose, it is not from our company. Only communications from our official company channels should be trusted. Please note our official email domain is @neweratech.com. If you suspect fraudulent activity, please contact us immediately at privacy@neweratech.com .
Ready to apply?
Apply to New Era TechnologyThe salary range for this role is negotiable, the range being $6,000-$12,500 per month (Gross in USD), based on location and experience level.
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience
About the Role:
We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
Sezzle is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to read, write, and analyze large volumes of it quickly and efficiently.
Sezzle is a heavy consumer of MySQL, Postgres, and Redshift, leveraging AWS tooling with Aurora RDS and DMS. We use DBT-based transformations and similar toolkits to populate a rapidly growing data lake that supports multiple data warehouses. It’s scaled well with us so far, and we’re looking to continue improving it, but we also want to step into new tooling and technologies.
What you’ll do:
- End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
- Lead optimizations in database and query performance.
- Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations.
- Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business.
- Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL.
- Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data infrastructure.
- Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.
What We look for:
- 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems.
- Deep expertise with MySQL, Postgres, AWS Redshift or similar products, including performance tuning, table design, and workload management.
- Advanced proficiency in SQL.
- Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT, AWS DMS, or similar tools.
- Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns.
- Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.
Preferred Knowledge and Skills:
- Prior experience in high-growth, data-intensive fintech or similar regulated environments.
- Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake.
- Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day
- Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming).
- High enthusiasm for using AI to be as productive as possible.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
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Apply to SezzleStrategic Project Lead
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Strategic Project Lead / Delivery Manager
Data Annotation & AI Delivery
8+ Years of Experience
Position Overview
We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.
This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.
Primary Responsibilities
- Team Leadership & Development
- Lead, mentor, and grow large-scale teams of annotators and trainers.
- Drive performance management, career development, and targeted training.
- Foster a culture of excellence, ownership, and continuous learning.
- Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.
- Project Management & Coordination
- Define and manage project scope, objectives, timelines, and quality metrics.
- Align with cross-functional stakeholders on goals and deliverables.
- Proactively identify and resolve delivery risks, blockers, and dependencies.
- Provide clear and consistent reporting on progress, challenges, and solutions.
- Data Quality & Integrity
- Own quality control and data integrity across the annotation lifecycle.
- Analyze datasets to identify trends, anomalies, and insights for improvement.
- Implement best practices for annotation, evaluation, and data curation.
- Share learnings and continuously improve quality processes.
- Technical Collaboration & Innovation
- Partner with engineering and research teams to optimize internal tooling.
- Stay ahead of emerging trends in AI, ML, and multimodal processing.
- Champion innovations that reduce task completion times and improve efficiency.
- Maintain clear and scalable documentation for processes and training.
- Customer & Domain Engagement
- Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
- Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
- Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
- Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.
Required Skills & Qualifications
- 10+ years of experience in engineering, program management, or delivery of large-scale projects.
- Proven ability to lead and scale large teams (100+ members) with measurable impact.
- Strong technical grounding in AI/ML, data annotation, and multimodal systems.
- Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
- Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
- Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
- Proficiency in Python (preferred) or Swift for data analysis and automation.
- Strong mathematical and analytical skills for data-driven problem solving.
- Experience in data curation, annotation pipelines, and quality control.
- Excellent communication and stakeholder management skills.
- Track record of driving high-quality outputs under tight deadlines.
Preferred Skills & Qualifications
- Advanced degree in Computer Science, Data Science, AI, or related fields.
- Experience applying gamification to workforce engagement.
- Familiarity with modern project management tools & methodologies.
- Exposure to state-of-the-art multimodal AI technologies.
- Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
- Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
- Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringGitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Data Analyst on GitLab's Enterprise Analytics team, you'll support some of GitLab's most visible go-to-market and executive reporting. You'll work closely with Sales, Marketing, Revenue Operations, Finance, and analytics partners to deliver company-level reports, go-to-market performance views, and lifecycle reporting that leaders use to run the business. Working in Snowflake, dbt, Tableau, and VS Code, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our Enterprise Analytics handbook and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.
What you'll do
- Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.
- Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.
- Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.
- Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.
- Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.
- Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.
- Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.
- Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.
What you'll bring
- Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.
- Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.
- Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.
- Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.
- Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.
- Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.
- Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.
- Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.
- Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.
About the team
The Enterprise Analytics team is a centralized, cross-functional partner to GitLab's go-to-market organization and executive leadership. The team turns data from systems such as Snowflake, Salesforce, GitLab, and other business platforms into actionable insights and self-service reporting that support operating reviews and strategic decision-making. You'll join a fully remote, globally distributed team that collaborates asynchronously to define shared metrics and deliver reporting that leaders can trust. We document our strategy and processes in the handbook so stakeholders can use data more independently. The team is currently focused on scaling company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
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About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
- Reliable, high-quality data is the fuel that propels AI-powered data engineering.
- AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
- We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
About dbt Labs
Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt has become an open-source standard, used by over 50,000 companies worldwide to transform data in their warehouses. Our work shapes how modern data teams operate, and we're now extending that impact from transformation into the semantic layer — the foundation for trusted, governed metrics across every analytics and AI workflow.
We're building a remote-first, globally distributed team, and we're growing our engineering presence in India to bring senior talent closer to the products defining the future of data.
About the Team
The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications.
This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. You'll work at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business.
About the Role
We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow — designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack.
What You'll Do
- Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others).
- Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack.
- Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem.
- Improve performance, reliability, and observability of metric query execution at scale.
- Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements.
- Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships.
- Mentor other engineers through code review, pairing, and technical guidance.
What You'll Need
- Strong professional software engineering experience, with a strong track record of shipping production systems.
- Deep proficiency in Python, including modern typing, testing practices, and packaging.
- Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries.
- Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines.
- Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility.
- Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members.
- Experience collaborating in a distributed, asynchronous team environment.
Nice to Have
- Prior experience contributing to or maintaining a popular open-source project.
- Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies.
- Background in data warehousing internals, query optimization, or analytical SQL dialects.
- Experience with CI/CD, GitHub Actions, and release engineering for Python libraries.
- Exposure to building developer-facing APIs, SDKs, or CLIs.
Why Join Us
- Impact at scale: Your code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises.
- Open-source ownership: You'll be a public, named maintainer of a foundational project — your work is visible, reviewed, and used by the global data community.
- A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy.
- Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support.
Our Commitment
dbt Labs is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you're excited about shaping how the world's data teams define and share metrics — and you want to do it on a project that's open, ambitious, and used everywhere — we'd love to hear from you.
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
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Data Modeler
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About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.
Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.
About the Role
We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices.
The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.
This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms.
Your day to day
Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers. Your activities will include:
- Perform data profiling analysis.
- Use SQL, data modeling and data integrity principles.
- Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards.
- Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
- Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
- Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
- Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance.
- Partner with Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations.
- Work with client management teams to provide support and data model expertise during client implementation.
What you bring to the team
- 2+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering.
- Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar).
- NoSQL data model experience.
- Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures.
- Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains.
- Experience with schema evolution, lossless data modeling, and data versioning strategies.
- Strong background in SQL, data profiling, and metadata creation and maintenance.
- Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards.
- Excellent collaboration skills to work with data architects, engineers, and client implementation teams.
What we would like to see, but not required
- Healthcare reporting experience.
- Experience with OBT, data lakehouse, and metadata management frameworks.
- Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses.
- Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access.
- Experience with data governance, security, and regulatory compliance in healthcare data management.
What you’ll get in return
- Competitive Leave & Benefits
- Comprehensive health coverage
- Equity for every employee – share in our success
- Growth-focused environment – your development matters here
Work arrangements
- Standard hours: 8 hours/day, 5 days/week
- Location: Pune, Hybrid (3 days a week in office)
- Shift: 12pm-9pm IST
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
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Apply to Abacus Insights
Staff Analytics Engineer
Location: Hyderabad | Department: Technology, Data
About the Role
Are you passionate about turning raw data into actionable insights and enabling data-driven decision-making? As an Analytics Engineer, you will play a critical role in shaping our data ecosystem and ensuring that our teams have access to accurate, well-structured, and timely insights.
You’ll collaborate closely with different business functions to design and implement scalable data models, track key performance metrics, and optimize data workflows. Your work will directly impact how we measure product success, marketing effectiveness, and customer engagement.
What You'll Do
Collaboration & Enablement
- Act as the Technical Lead for the team, taking ownership of our engineering standards and driving the rigorous application of best practices in data and semantic modeling.
- Partner with cross-functional teams to democratize data access and improve self-serve analytics capabilities.
- Partner with cross-functional teams to gather requirements and implement reporting/dashboards which allow those teams to improve performance
- Create and maintain clear documentation for data models, metrics, and best practices.
Data Engineering & Pipeline Optimization
- Use dbt (Data Build Tool) to build, test, and optimize scalable data models.
- Implement semantic models within our Business Intelligence platform
- Implement reports/dashboards in our Business Intelligence platform which leverage our semantic model
- Work with cloud data warehouses (BigQuery, Snowflake, or Redshift) to ensure efficient data transformation and storage.
- Implement automated data quality checks to maintain integrity and reliability across datasets.
What You’ll Need
Technical Skills & Experience
- 7+ years of experience in analytics engineering
- Strong SQL skills and experience working with data warehouses (BigQuery, Snowflake, or Redshift).
- Strong reporting/dashboarding skills leveraging a modern Business Intelligence platform with a Semantic Layer (Omni, Looker, Lightdash)
- Hands-on experience with dbt for data modelling and transformation.
Soft Skills & Collaboration
- Ability to work cross-functionally with different stakeholders.
- Excellent problem-solving skills and a structured approach to data challenges.
- Strong written and verbal communication skills to translate complex data concepts for non-technical stakeholders.
- Self-motivated and eager to optimize and automate data processes wherever possible.
Why Join Us?
We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.
Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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Apply to RedpinSenior Data (Platform) Engineer
Location: Hyderabad | Department: Technology, Data
About the Role
Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling.
You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems.
What You'll Do
Data Platform & Infrastructure
- Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
- Provision and manage cloud resources across development, staging, and production environments.
- Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
- Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
- Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
- Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
- Continuously monitor and optimize platform performance and cost.
Framework, Tooling and Enablement
- Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
- Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
- Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
- Create and maintain technical documentation and examples to support self-service analytics and data development.
What You’ll Need
Technical Skills & Experience
- 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
- Strong programming skills in Python and SQL.
- Hands-on experience with:
- Terraform
- Airflow
- dbt
- Kubernetes
- Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
- CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
- Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.)
- Strong understanding of analytical data models and how analytics teams consume data.
- Experience integrating and operating LLM-based pipelines and services (not model training).
Soft Skills & Collaboration
- Strong problem-solving skills and ability to debug complex platform issues.
- Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
- Clear communicator who can work effectively with both technical and non-technical stakeholders.
- Pragmatic, ownership-driven mindset with a focus on reliability and simplicity.
Why Join Us?
We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.
Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Ready to apply?
Apply to Redpin