Databricks Jobs in Bengaluru.
All active Databricks roles based in Bengaluru.
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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
Head of Machine Learning
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At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades. We are backed by Y Combinator, Accel and Menlo Ventures.
Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.
With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build Agentic AI applications that will revolutionize the future of consumer finance.
At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all.
We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior-most ML role in the company — partnering directly with the CTO as a peer technical leader, defining the multi-year ML vision, building and leading a world-class team, and translating cutting-edge research into production systems that move the needle for over 100 customers and millions of consumers. You'll set the bar for technical excellence, hire and develop the next generation of ML leaders, and shape what consumer finance intelligence looks like over the next decade. If you've operated at this level before — or are ready to step into it at a company where ML is the engine of the product — we want to talk.
Responsibilities:
- Own the ML function end-to-end — vision, roadmap, team, delivery, and measurable business impact across classical ML, NLP, GenAI, and Agentic AI
- Partner with the CTO as the senior ML leader to set company-wide technical direction and shape the long-term roadmap for Prodigal's Intelligence Engine
- Build and lead a high-performing ML organization — hire, mentor, and develop ML engineers, applied scientists, and tech leads across multiple pods
- Translate research into product — drive the application of LLMs, Agentic AI, the modern NLP stack, recommendation systems, and classical ML into production systems serving 100+ customers
- Set technical standards for model development, deployment, monitoring, evaluation, and experimentation that scale across the org
- Architect data and ML infrastructure in partnership with the platform and engineering teams to support large-scale training and reliable, low-latency inference
- Communicate strategy and outcomes clearly to the founders, board, customers, and broader engineering organization
- Represent Prodigal externally — at conferences, in research collaborations, and as a senior voice in the consumer finance AI community
- Stay at the frontier of ML and GenAI research, identifying where new techniques unlock product and business advantage
- Collaborate cross-functionally with product, engineering, GTM, and customer success leaders to ensure ML investment ties directly to revenue, retention, and customer outcomes
Requirements:
- 10+ years of experience in machine learning and software development at a tech or product company, with 4+ years leading ML teams (managing engineers and/or tech leads)
- Proven track record of shipping ML products in production at scale with measurable business impact
- Deep technical fluency across classical ML, deep learning, and the modern NLP/LLM stack — you can still go deep in design reviews, not just review at the surface
- Strong coding skills in Python. Hands-on with PyTorch, scikit-learn, Pandas, and Spark
- Demonstrated success hiring, mentoring, and growing ML talent — including team leads and senior engineers
- Strong executive communication and the ability to set technical direction with founders, peers, and the board
- A bias for outcomes — you connect model work to revenue, engagement, and operational metrics
Preferred Qualifications:
- Experience as a founding ML hire, ML lead, or applied science leader at a high-growth AI/ML product company
- Background in voice AI, conversational AI, speech, NLP on unstructured text, or fintech/lending domains
- Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
- Track record of running A/B testing and experimentation programs at scale
- Patents, publications, or open-source contributions; strong institutional pedigree (IIT, BITS, NIT, IISc)
- Experience scaling an ML org through a hypergrowth phase
Job Benefits
- GenAI at the core – Lead the ML function at a company where AI isn't a feature, it's the product. Shape groundbreaking work that redefines consumer finance intelligence.
- World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
- Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
- Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
- Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
- Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
- Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
- Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that's Nimbu Pani).
Meet Sangram (Cofounder and CTO) and hear his vision for Prodigal: https://www.youtube.com/embed/FTWlN9fwiIA?feature=shared
From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.
To learn more about us - please visit the following:
Our Story - https://www.prodigaltech.com/our-story
What shapes our thinking - https://link.prodigaltech.com/our-thesis
Ready to apply?
Apply to Prodigal
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a Software Engineer for Cloud Data Warehouse database connector team and supporting other databases teams to drive improved performance, reliability, and analytical power for our platform to delight our customers in how they use their data.
This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t need to be a subject matter expert before you join us (you will become one within this role!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure three times before you cut once.
A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for a high level of expertise and productivity with modern software development environments (we use Java).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day as one of our most senior engineers.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
- Java, SQL Server, SQL, Docker, AWS, GCP, BuildKite, DBeaver, Grafana
What You’ll Do
- Be a horizontally-scaling engineer (we grow together as a team)
- Design and implement features and performance improvements in the Fivetran core to create highly scalable distributed data pipelines on the cloud
- Care and feel ownership of our product platform, and leverage your skills towards improving it
- Advocate for core values, business impact, better engineering, and simple and direct solutions
- Lead engineering-wide initiatives for a number of key technologies
- Collaborate across engineering on cross-functional projects creating innovative solutions
- Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
- Review and approve technical design documents and pull requests
- Improve and enhance engineering systems documentation and development processes
- Coach and mentor other software engineers
- Contribute to hiring by participating in the interview process
Skills We’re Looking For
- Typically, 5+ years of software development experience in fast paced environments
- Demonstrated passion to learn how large-scale software engineering projects work
- Lead and mentor junior team members
- Has developed an ability to write, test, and deploy well-structured and performant code
- Experience developing data-processing systems, preferably for an external-facing product
- Strong technical communication skills (written and verbal) in English
- Proficient level programming in an object oriented / systems language such as Java, Python, C# etc.
- Experienced with end-to-end systems profiling, performance, and optimization
- Experience troubleshooting problems with existing code and systems
- Experienced working in a cloud environment architecture utilizing AWS, GCP, Postgres, Kubernetes, Docker, or similar technologies
Bonus Skills
- Experience with BigQuery, Snowflake, Databricks, SQL Server, Oracle, Postgres, MySQL, MongoDB, CosmosDB databases
- Developed any ETL/ELT pipelines
#LI-HYBRID
#LI-AV1
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
Director,Technical Solutions (Big Data/ AI)
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CSQ227R231
Mission
The Director of Data & AI Support Engineering - Bangalore will be responsible for leading and growing a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads. This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions. This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more. Reporting to the Global Lead of Frontline Support Engineering - Data & AI - you are able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.
The impact you will have:
- Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours.
- Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.
- Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required.
- Partner with internal product engineering teams to make Databricks products better and more supportable.
- Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.
Competencies & Requirements
- Proven people leadership experience: at least 6+ years as a manager of managers.
- 18+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.
- Experience leading large teams (100+ employees) in engineering, technical support, or consulting. Support experience is not required - but customer facing experience is highly desirable.
- Hands-on experience in at least two of the following at production scale:
- Big Data (Spark, Hadoop, Kafka)
- Machine Learning / Artificial Intelligence projects
- Data Science / Streaming use cases
- Spark expertise is a big advantage.
- Strong background in customer-facing support leadership roles.
- Excellent troubleshooting skills across distributed systems.
- Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.
- Bachelor’s/Master’s in Computer Science or equivalent technical field.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Specialist Solutions Architect
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SLSQ227R141
Field Engineering, Lakebase Product Specialist
As the Lakebase Product Specialist, you will be defining our technical go to market strategy and driving our application stack adoption in the India region.
You will be directly working with customers to guide and influence their application architecture and decisions. You will be expected to present, demo and pitch the Lakebase product suite and You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.
You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.
You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.
You have expertise in modern data application architectures and preferably industry domain knowledge. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies and patterns. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.
The impact you will have:
- Lead the vision and strategy for Databricks Lakebase adoption in India
- Develop materials for our GTM team to effectively communicate our value proposition
- Support our field teams in key strategic pursuit opportunities
- Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
- Act as the thought leader to build confidence and relationships with our customers at the executive level
- Present externally at conferences, events and webinars and publish content to establish our position in the market
- Work with post sales and partners to establish best practices
- Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion
What we look for:
- 6+ years of experience in application development and familiar with modern database architecture
- Deep technical knowledge with database technologies, e.g. Postgres, MySQL, Oracle, Aurora, RDS, etc.
- Deep technical understanding of the software engineering / data application development practices
- Trusted advisor to technical executives that inform strategic data decisions
- Proven track record of successful pre-sales experience in competitive situations
- Ability to define and executive strategic program cross functionally
- High impact communication internally and externally
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Training & Operations Manager
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CSQ126R22
As a Training & Operations Manager, you will build and scale a predictable, AI-enabled learning operations engine across APJ that transforms regional execution into disciplined, data-driven, revenue-aligned outcomes.
As the operational backbone of the region, you will design systems, not just manage processes, ensuring APJ training operations scale with clarity, control, and commercial rigour.
The impact you will have:
- Architect and run a scalable, data-driven operating cadence across APJ, including forecasting, QBRs, capacity planning, and executive reporting.
- Partner with Sales, Professional Services, and Learning & Enablement leaders to translate global strategy into executable regional plans.
- Reduce operational friction by embedding automation, predictive analytics, and AI-first workflows into intake, scheduling, and performance tracking.
- Improve forecast accuracy and operational predictability by identifying risks early and driving structured corrective action.
- Lead high-priority escalations with discipline and composure, converting recurring issues into systemic improvements.
- Increase stakeholder self-sufficiency by shifting standard operational requests into automated, AI-enabled pathways.
- Standardize governance frameworks, decision rights, and ownership models to ensure consistent regional execution aligned with global standards.
- Optimize regional utilization and fill rates while maintaining cost discipline and delivery quality.
- Elevate operational maturity across APJ by driving adoption of data-driven practices and structured execution frameworks.
What we look for:
- 10+ years of experience in Consulting, Sales Operations, Business Operations, Enablement Operations, or Professional Services Operations within high-growth technology companies.
- Proven experience owning regional operating cadence, forecasting frameworks, and large-scale execution models.
- Strong commercial fluency, including understanding of utilization, forecast variance, and revenue discipline.
- Experience implementing automation, analytics, or AI-driven workflows to improve efficiency and predictability.
- Analytical rigor with the ability to translate data into executive-level insight and actionable recommendations.
- Experience operating in matrixed, international environments with sensitivity to regional and cultural nuances.
- A structured, systems-oriented mindset with the ability to balance speed, governance, and scalability.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Information Security Investigations Analyst
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Who We Are:
Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.
The Challenge
We are seeking a proactive and meticulous Investigations Analyst to join our Information Security team. In this pivotal role, you will conduct complex investigations into insider threats, game cheating, and other threat actor activities to keep our games and services secure. You will be responsible for identifying critical information gaps, maintaining refined threat profiles, and harnessing open-source intelligence. A key part of your mission will be to collect, preserve, and analyze digital evidence following industry best practices, while also creating automated monitors and detailed reports suitable for technical and executive audiences. You will build a culture of continuous improvement, helping to refine investigative playbooks and methodologies to adapt to emerging threats and attack techniques. This role is ideal for an established information security professional seeking to expand their horizons, who thrives on challenging investigative work, and can consistently enforce a high standard of precision and discipline in the defense against all threat actors.
What You’ll Take On:
- Conduct investigations of insider threats, game cheaters, and in-game harassment
- Provide investigative support to Legal, HR, IT and other Information Security teams
- Identify information sources and critical gaps
- Identify new opportunities for detection
- Maintain case files on potential threat actors
- Maintain and refine threat profiles and adapt to newly-identified threat model
- Create automated monitors, alerts, and dashboards in support of the investigations program
- Develop reports suitable for technical and executive audiences
- Propose and refine playbooks and standard operating procedures
- Stay current with emerging threats and attack techniques
- Refine manual investigation methodologies
- Automate repetitive investigation tasks
- Collect, preserve, and analyze digital evidence following industry best practices (NIST SP 800-61)
- Maintain chain of custody for all digital evidence
- Assist in responding to emergency situations like security incidents
- Provide investigative and record-keeping support to the DFIR team
- Identify and work to fill knowledge and skill gaps
- Maintain an Individual Development Plan with management
- Participate in tabletop exercises and simulations to enhance team readiness
What you Bring:
- 3+ years of hands-on experience in information security operations, digital forensics, threat intelligence, or incident response
- Experience with digital forensics tools such as EnCase, The Sluethkit, Magnet Forensics, etc
- Strong background in intelligence gathering, monitoring and reporting
- Experience conducting various types of investigations
- Experience with data warehouses such as DataBricks or Redshift
- Experience with relational databases such as Postgres or MySQL
- Experience automating processes with languages such as Python or Go
- Strong written and verbal communication skills
- Ability to present technical findings to non-technical stakehold
- Industry-standard certifications related to Forensic Investigations and threat intelligence (GCFA, GCFE, GCIH, GOSI, GCTI, eCIR, eCDFP or PORP) are a plus
- Experience with Business Intelligence, Cyber Threat Intelligence and Link analysis platforms (Tableau, OpenCTI, MISP, Maltego) are a plus
What we offer you:
- Great Company Culture. We pride ourselves as being one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
- Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
- Work Hard, Enjoy Life. Our employees’ bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, our Office gaming spaces, game release events, monthly socials, and team challenges.
- Benefits. Benefits include, but are not limited to; Discretionary bonus, Provident fund contributions, 1+5 medical insurance + top up options and access to Practo online Doctor consultation App, Employee assistance program, 3X CTC Life Assurance, 3X CTC Personal accident insurance, childcare services, 20 days holiday + statutory holidays,
- Perks. Gym reimbursement up to INR1150 per month, wellbeing program with the chance to earn up to $93 per annum, charitable giving program, access to learning platforms, employee discount program’s plus free games and events!
Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com.*
As an equal opportunity employer, Take-Two Interactive Software, Inc. (“Take-Two”) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two’s equal opportunity commitment, please contact Careers@take2games.com.
#LI-Hybrid
Ready to apply?
Apply to Take-Two Interactive Software, Inc.
Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who we are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you will do at Axi!
As a Developer at Axi, you will architect and build robust systems, optimizing performance for speed and reliability. You'll ensure security and compliance with industry standards, integrating with third-party APIs and payment processing. You will work in a domain POD alongside senior engineers, QA specialists, and product partners, delivering full-stack features on .NET Core, React, React Native, SQL Server, Cosmos DB, messaging, Kubernetes (AKS), and Databricks-backed data products. You’ll gain exposure to microservices, cloud platforms, and modern DevOps practices in a distributed team environment.
Your EDGE Assignment / You will
Design and implement full-stack features using C#/.NET Core (services, APIs) and React for web, with optional contributions to React Native for mobile platforms.
- Build clean, well-structured microservices following SOLID principles, Clean Architecture, and Domain-Driven Design (DDD) patterns with strong test coverage (unit, integration, contract tests).
- Develop containerized applications using Docker, deploy to Azure Kubernetes Service (AKS), and participate in CI/CD pipeline improvements.
- Integrate with messaging platforms (Azure Service Bus, Event Grid) to build event-driven and asynchronous workflows for distributed systems.
- Design and optimize SQL Server queries, schemas, and indexes for transactional workloads; implement Cosmos DB data models for high-throughput, low-latency scenarios with appropriate partitioning and consistency models.
- Contribute to observability: structured logging, distributed tracing, metrics collection, and dashboards using Application Insights, Prometheus, or similar tools.
- Participate in on-call/incident rotation as needed, helping diagnose, resolve, and learn from production issues in a 24/7 platform.
- Collaborate with senior engineers, architects, and product partners to refine requirements, participate in design reviews, and deliver features with high quality.
Are you the one?
A Senior Developer at Axi needs to have the following skills -
- 5–9 years building production software with substantial full-stack work across backend services and frontend applications.
- Proven experience in distributed systems or high-throughput transactional platforms.
- Experience in fintech, trading, or other mission-critical domains is an advantage.
- Strong problem-solving skills, ability to debug complex systems, and comfort with production support responsibilities.
- Excellent communication and collaboration skills in distributed, Agile team environments.
- Proficiency in C# and .NET Core (6/7/8+), including dependency injection, async/await patterns, TPL, and REST API design best practices.
- Strong React experience with hooks, functional components, state management (Redux/Context API), TypeScript, and modern build tooling (Webpack, Vite).
- Hands-on experience with relational databases (SQL Server: indexing, query optimization, transactions) and at least one NoSQL store (Cosmos DB preferred: partitioning, consistency tuning).
- Experience with messaging systems (Azure Service Bus, Event Grid) and event-driven architecture patterns.
- Understanding of containerization (Docker) and Kubernetes/AKS basics: deployments, services, ConfigMaps, secrets, resource limits.
- Familiarity with CI/CD workflows (Azure Pipelines, GitHub Actions), Git-based development, feature toggles, and automated testing frameworks.
- Experience with API security (authentication, authorization, JWT, OAuth2) and secure coding practices.
- Knowledge of observability practices: structured logging, distributed tracing (Application Insights, OpenTelemetry), and metric-driven debugging.
Why Join Axi
- Work on a global trading platform serving hundreds of thousands of users with innovative features and high-performance requirements.
- Develop end-to-end solutions with ownership and visibility into business impact.
- Collaborate with talented engineers across regions and multiple time zones.
- Continuous learning opportunities in microservices, cloud-native architecture, and fintech domains.
Axi’s Bag of Delights
- Competitive compensation
- Training, development resources, and certification opportunities
- 18 annual leave days + 12 sick days
- Local public holidays
- Health insurance benefits
Axi's interview journey
- Step 1 – AI Assessment & TA Round (45 min)
- Step 2 – Hiring Manager Exploratory Discussion (30–45 min)
- Step 3 – Coding Round (60–90 min)
- Step 4 – System Design Round (60–75 min)
- Step 5 – Architecture & Deep Dive (60 min)
At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.
Ready to apply?
Apply to AxiWho We Are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you will do at Axi!
We are looking for a Technical Business Analyst who will play a key role within the Operations, Governance, and Control team by gathering, analysing, and documenting data requirements to support the delivery of a centralised, self-service data platform across all business divisions, while assuming responsibility for existing data reporting and operational support activities. The role will have significant responsibility within the Data Strategy initiatives, including leading the end-to-end migration, reconciliation, and validation of five critical data domains to ensure business reporting requirements are successfully transitioned and aligned with business needs. In parallel, the position will contribute to foundational Data Strategy enablers, such as Master Data Management (MDM), data lineage, data cataloguing, and governance artefacts - essential to achieving sustainable, scalable, and compliant self-service analytics. The Technical Business Analyst will also produce high-quality documentation and actionable reports and dashboards to support informed, data-driven decision-making across program teams and senior leadership. You will work in a hybrid setup, with your day beginning at 7:30 AM IST to collaborate effectively with our global teams.
Your EDGE Assignment/You Will
- Gather, analyse, and document data and reporting requirements across business divisions to support delivery of a centralised, self-service data platform.
- Collaborate with business stakeholders, data engineering, and tech ops teams to translate business needs into clear, traceable technical specifications, user stories, and acceptance criteria, using Jira and Azure DevOps, ensuring alignment with agile delivery cycles.
- Lead requirements, planning, and validation activities for the end-to-end migration, reconciliation, and testing of five critical data domains, ensuring reporting continuity and alignment with business needs.
- Maintain ownership of existing data reporting and operational support activities, promptly identifying and resolving reporting or data quality issues.
- Document current and future state processes, data flows, and governance standards, ensuring clear, accessible, and version-controlled documentation.
- Contribute to foundational Data Strategy initiatives, including Master Data Management (MDM), data lineage, data cataloguing, and governance artefact development.
- Ensure all data initiatives align with organisational data governance, security, privacy, and compliance requirements.
- Support testing and validation activities, including UAT preparation, issue tracking, and verification of migrated and newly developed data solutions.
- Monitor project progress, dependencies, and risks, proactively escalating issues and recommending solutions to maintain delivery timelines.
- Prepare and present high-quality reports and dashboards using Power BI (proficient in DAX and SQL) to provide actionable insights for program teams and senior leadership.
- Demonstrate flexibility to support team priorities as needed, readily pivoting to assist across tasks and initiatives.
- Take accountability and ownership for deliverables, working independently without close supervision while actively collaborating and contributing to team success.
Are you the one?
-
10+ years of experience as a Technical Business Analyst, preferably in data-driven and product-based environments.
-
Strong hands-on experience with Power BI and DAX, including building dashboards, reporting solutions, and translating business insights into actionable data.
-
Proficiency in Databricks and SQL for data analysis, querying, and supporting analytics and reporting initiatives.
- Hands-on experience using Confluence for documentation, collaboration, and knowledge management.
-
Demonstrated expertise in technical documentation, including requirement gathering, user stories, process flows, and functional specifications.
-
Experience leading UAT activities, coordinating with stakeholders, and ensuring successful delivery of business outcomes.
-
Solid knowledge of data governance and data management practices, including MDM, RBAC/ABAC, PII compliance, data lineage, and cataloging.
-
Excellent communication and stakeholder management skills, with the ability to collaborate across technical and non-technical teams.
-
Strong documentation, analytical thinking, and problem-solving abilities.
-
Proven ability to manage multiple priorities, deliver in fast-paced environments, and work independently.
Nice to Have
- Exposure to cloud platforms such as AWS and GCP.
- Experience working in the trading, financial services, or fintech domain.
- Understanding of trading platforms such as MetaQuotes and related ecosystems.
- Strong teamwork, collaboration, and time management skills.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities including professional certifications and soft-skills development.
- 18 annual leave days and 12 sick leave days per year.
- Public holidays as declared by local government.
- Maternity leave as per law.
- Health insurance coverage.
Axi's interview journey
- Talent Acquisition Interview (45 minutes)
- Technical Interview 1 (1 hour)
- Cultural Fit Interview (30 minutes)
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.
At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Ready to apply?
Apply to AxiPlease note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who We Are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you will do at Axi!
At Axi, we’re looking for a passionate and forward-thinking Senior Software Architect to lead the design and development of high-quality, scalable software solutions across our global platforms. You will play a key role in setting the architectural vision, guiding best practices, and enabling cross-team collaboration to ensure our systems are robust, secure, and aligned with business goals.
In this role, you’ll collaborate with technical leads and subject matter experts, shaping architectural blueprints and roadmaps, while also mentoring developers and promoting excellence in engineering practices. This is a hands-on position ideal for someone who thrives at the intersection of design and code—bringing architectural vision to life with clean, efficient, and maintainable solutions.
Your EDGE Assignment/You Will
- Define and document target architecture blueprints and patterns for .NET Core microservices, React/React Native frontends, and Azure cloud infrastructure.
- Guide the design of high-availability, low-latency systems including API gateways, messaging architecture, caching strategies, and circuit breaker patterns for trading platforms.
- Establish observability standards: structured logging, distributed tracing, metrics, SLOs, and alerting practices across the organization.
- Lead architecture reviews, threat modeling, and Proofs of Concept for significant initiatives, evaluating technology choices and design trade-offs.
- Advise on Kubernetes (AKS) strategies, containerization, container registries, and deployment patterns (GitOps, blue-green, canary).
- Define infrastructure-as-code standards, CI/CD pipeline architecture, and DevOps tooling to enable safe, fast deployments.
- Guide data architecture decisions across SQL Server, Cosmos DB, Databricks, and data lake storage for transactional and analytical workloads.
- Partner with Security and Compliance teams on architectural security, regulatory requirements, and audit-friendly designs.
- Mentor senior engineers, architects in training, and technical leads to grow architectural maturity across the organization.
Technical Requirement
- Deep knowledge of .NET Core microservices, Domain-Driven Design (DDD), Clean Architecture, CQRS, and event-driven design patterns.
- Expert-level Azure experience: App Services, AKS (Kubernetes), Service Bus, Event Grid, API Management, Cosmos DB, SQL Database, Key Vault, Storage, monitoring (Application Insights).
- Strong Kubernetes/AKS expertise: cluster design, networking, security (RBAC, network policies), resource management, autoscaling, and GitOps principles (FluxCD, ArgoCD).
- Solid understanding of DevOps: CI/CD pipelines (Azure Pipelines, GitHub Actions), infrastructure-as-code (Terraform, ARM templates), containerization (Docker), and deployment patterns.
- Experience designing resilient systems: circuit breakers, retries, bulkheads, timeouts, fallbacks, and chaos engineering practices.
- Strong grasp of observability: structured logging, distributed tracing (Application Insights, OpenTelemetry), metrics (Prometheus), and alerting (e.g., Azure Monitor, Datadog).
- Knowledge of security architecture: API security (OAuth2, JWT, mTLS), secrets management, encryption, and defense-in-depth strategies.
- Experience with data architecture patterns and considerations (OLTP/OLAP, relational/NoSQL, eventual consistency).
Are you the one?
- 7–14+ years of software engineering with significant architectural leadership and hands-on technical depth.
- Proven track record architecting and operating large-scale, distributed systems in production (ideally fintech, trading, or other mission-critical domains).
- Strong ability to communicate complex architecture and design decisions to both technical teams and executive stakeholders.
- Demonstrated influence over organizational practices, standards, and technology choices across multiple teams and geographies.
- Comfort with ambiguity and ability to evaluate trade-offs between innovation, performance, cost, and regulatory requirements.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities, such as professional training and certifications and soft skills development.
- 18 annual leave days per year.
- 12 sick days leave per year.
- Public holidays as declared by local government.
- Maternity leave as per law.
- Health Insurance.
Axi's interview journey
- Talent Acquisition Interview + AI Interview (60 minutes)
- Hiring Manager Exploratory Discussion (45 mins)
- Architecture Round I (60 - 75 minutes)
- Architecture Round II (60 - 75 minutes)
- Cross Functional and Culture Fit (60 minutes)
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.
At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Ready to apply?
Apply to AxiPlease note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who we are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you do at Axi!
As the Senior Data Engineer for the Customer Data Platform, you will play a pivotal role improving Axi’s data capabilities which deliver positive performance impacts on our global trading products. You will sit within our Product Data Team and proactively collaborate with broader business teams across Product, IT, Sales/Marketing and Finance. You will implement data initiatives which buildAxi’s utilisation of our Customer Data Platform to deliver growth strategies that increase the
adoption of Axi’s trading products that will generate new trading clients.
Your EDGE Assignment/You Will
- Build and maintain ETL/ELT pipelines on Azure Databricks using PySpark or Scala to ingest, transform, and deliver data products at scale.
- Ingest data from SQL Server, Cosmos DB, event streams, APIs, and external sources into cloud data lakes and Databricks lakehouses.
- Design and implement data quality checks, validation rules, and monitoring to ensure reliability and early detection of anomalies.
- Optimize Spark jobs for performance and cost, including cluster sizing, partitioning strategies, and caching mechanisms.
- Document data pipelines, lineage, and schemas; maintain data dictionaries and metadata catalogs for consumer discovery and understanding.
- Collaborate with data analysts, scientists, and domain engineers to understand requirements and refine data products.
- Contribute to infrastructure and tooling for data workflows (scheduling, orchestration, monitoring, alerting).
Technical Requirements
- Hands-on experience with Azure Databricks and Apache Spark (PySpark or Scala) for large-scale data processing.
- Strong SQL skills, including complex queries, window functions, CTEs, and query optimization for both transactional and analytical workloads.
- Experience with SQL Server: data warehousing concepts, schema design, indexing, and optimization for analytics.
- Familiarity with Azure data services: Data Lake Storage, Synapse Analytics, Data Factory, or Blob Storage.
- Understanding of ETL/ELT concepts, data modeling, dimensional modeling (fact/dimension tables), and slowly changing dimensions.
- Experience with batch and/or stream processing concepts; familiarity with event-driven architectures.
- Knowledge of data quality frameworks, testing strategies, and monitoring/alerting for data pipelines.
- Basic understanding of relational and NoSQL databases (Cosmos DB exposure is beneficial).
Are you the one?
- 5+ years of experience in data engineering or analytics engineering roles.
- Strong problem-solving and ability to work independently with guidance from senior engineers.
- Good communication skills to translate business requirements into technical data solutions.
- Ability to work in Agile environments and collaborate with global teams across time zones.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities, such as professional training and certifications and soft skills development.
- 18 annual leave days per year.
- 12 sick days leave per year.
- Public holidays as declared by local government.
- Maternity leave as per law.
- Health Insurance.
Axi's interview journey
- Talent Acquisition Interview (45 minutes)
- Hiring Manager Exploratory Discussion (30–45 min)
- Coding/Data Round (60–90 min)
- Data Design Round (60 min)
- Cultural Interview (30 minutes)
At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.
Ready to apply?
Apply to Axi
Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who we are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you do at Axi!
The Architecture organization partners with Engineering, Data, Risk, and Product teams to define platforms, standards, and reference architectures that enable safe, fast delivery at scale. As Data Architect, you will shape how we organize, govern, and serve data across Axi’s technology ecosystem
Your EDGE Assignment/You Will
- Define end-to-end data platform architecture spanning ingestion, storage, processing, and serving layers using Azure Databricks, SQL Server, Cosmos DB, and Data Lake technologies.
- Design batch, streaming, and real-time data pipelines for trading, risk, regulatory, and customer data, establishing clear SLAs and contracts with consumers.
- Establish data governance frameworks: data classification, lineage tracking, quality standards, and compliance/security requirements.
- Create reference architectures and decision trees for data-heavy services (OLTP vs OLAP, relational vs NoSQL, batch vs streaming, medallion/lakehouse patterns).
- Lead architectural reviews and provide guidance to domain PODs and Data Engineering teams on data strategy, technology choices, and scalability.
- Design data models and storage strategies balancing transactional consistency, analytical performance, and cost efficiency.
- Work closely with Risk, Finance, and Compliance teams to ensure data architectures meet regulatory and audit requirements.
Technical Requirements
- Deep expertise with Azure Databricks, Delta Lake, and the Medallion (Bronze/Silver/Gold) architecture pattern for data lakehouses.
- Expert-level understanding of Apache Spark, including optimization, cluster management, and cost control.
- Strong SQL Server knowledge: data warehousing, dimensional modeling, indexing, query optimization, and replication strategies.
- Solid experience with Cosmos DB: partitioning strategies, consistency models, throughput management, and cost optimization.
- Experience with Azure data services: Data Lake Storage Gen2, Azure Synapse, Data Factory, Event Hubs, or equivalent.
- Understanding of data governance, metadata management, and data cataloging tools (e.g., Purview, Collibra, or similar).
- Knowledge of data quality frameworks and testing strategies for batch and streaming pipelines.
- Experience with security and compliance in data platforms (encryption, RBAC, audit logging, regulatory requirements)
Requirements
- 7–14 years of experience in data engineering and/or data architecture, with at least 3+ years in an architecture or principal engineer role.
- Proven track record designing and scaling data platforms in financial services, trading, or other regulated, high-volume environments.
- Strong ability to communicate complex architectural concepts to both technical teams and non-technical stakeholders.
- Experience influencing organizational practices, standards, and tool selection across multiple teams.
- Demonstrated ability to balance innovation, performance, cost, and regulatory requirements in architecture decisions.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities, such as professional training and certifications and soft skills development.
- 18 annual leave days per year.
- 12 sick days leave per year.
- Public holidays as declared by local government.
- Maternity leave as per law.
- Health Insurance.
Axi's interview journey
- Talent Acquisition Interview (45 minutes)
- Hiring Manager Exploratory Discussion (45–60 min
- Architecture Deep Dive (60–75 min
- Design & Stakeholder Round (60–75 min
- Cultural Interview (30 minutes)
At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.
Ready to apply?
Apply to Axi
Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.
Who we are.
Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.
Let's talk about the cool stuff you do at Axi!
As the Data Engineer for the Customer Data Platform, you will play a pivotal role improving Axi’s data capabilities which deliver positive performance impacts on our global trading products. You will sit within our Product Data Team and proactively collaborate with broader business teams across Product, IT, Sales/Marketing and Finance. You will implement data initiatives which buildAxi’s utilisation of our Customer Data Platform to deliver growth strategies that increase the
adoption of Axi’s trading products that will generate new trading clients.
Your EDGE Assignment/You Will
- Build and maintain ETL/ELT pipelines on Azure Databricks using PySpark or Scala to ingest, transform, and deliver data products at scale.
- Ingest data from SQL Server, Cosmos DB, event streams, APIs, and external sources into cloud data lakes and Databricks lakehouses.
- Design and implement data quality checks, validation rules, and monitoring to ensure reliability and early detection of anomalies.
- Optimize Spark jobs for performance and cost, including cluster sizing, partitioning strategies, and caching mechanisms.
- Document data pipelines, lineage, and schemas; maintain data dictionaries and metadata catalogs for consumer discovery and understanding.
- Collaborate with data analysts, scientists, and domain engineers to understand requirements and refine data products.
- Contribute to infrastructure and tooling for data workflows (scheduling, orchestration, monitoring, alerting).
Technical Requirements
- Hands-on experience with Azure Databricks and Apache Spark (PySpark or Scala) for large-scale data processing.
- Strong SQL skills, including complex queries, window functions, CTEs, and query optimization for both transactional and analytical workloads.
- Experience with SQL Server: data warehousing concepts, schema design, indexing, and optimization for analytics.
- Familiarity with Azure data services: Data Lake Storage, Synapse Analytics, Data Factory, or Blob Storage.
- Understanding of ETL/ELT concepts, data modeling, dimensional modeling (fact/dimension tables), and slowly changing dimensions.
- Experience with batch and/or stream processing concepts; familiarity with event-driven architectures.
- Knowledge of data quality frameworks, testing strategies, and monitoring/alerting for data pipelines.
- Basic understanding of relational and NoSQL databases (Cosmos DB exposure is beneficial).
Are you the one?
- 3+ years of experience in data engineering or analytics engineering roles.
- Strong problem-solving and ability to work independently with guidance from senior engineers.
- Good communication skills to translate business requirements into technical data solutions.
- Ability to work in Agile environments and collaborate with global teams across time zones.
Axi's bag of delights
- Competitive and attractive compensation.
- Extensive learning opportunities, such as professional training and certifications and soft skills development.
- 18 annual leave days per year.
- 12 sick days leave per year.
- Public holidays as declared by local government.
- Maternity leave as per law.
- Health Insurance.
Axi's interview journey
- Talent Acquisition Interview (45 minutes)
- Hiring Manager Exploratory Discussion (30–45 min)
- Coding/Data Round (60–90 min)
- Data Design Round (60 min)
- Cultural Interview (30 minutes)
At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.
Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.
Ready to apply?
Apply to AxiSecure 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 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.
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.
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
Sr. Solutions Architect
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FEQ227R53
As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems
Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
The impact you will have:
- You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
- You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.
- Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
- Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
What we look for:
- 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
- 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Strong consulting / customer facing experience , working with external clients across a variety of industry markets
- Coding experience in Python, R, Java, Apache Spark™ or Scala
- Experience building distributed data systems
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Available to travel to customers in your region
- Nice to have: Databricks Certification
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Business Analyst
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GAQ227R131
We're looking for a self-driven Senior Business Analyst to join Databricks' OTR Systems Transformation team. You'll take end-to-end ownership of quality, documentation, and operational health across our Order-to-Revenue (OTR) tech stack — operating with limited direction and building structure from ambiguity from day one. You'll be a partner across Deals Desk, Revenue Assurance, RevOps, Billing, Revenue, FP&A, and Finance leadership — influencing decisions through data-backed analysis and driving cross-functional alignment within the OTR domain.
Databricks is a data-driven company. Every recommendation should be grounded in data, not intuition. We actively embrace AI-assisted ways of working and expect this person to be curious, proactive, and always anticipating the next step.
The impact you will have:
- Own end-to-end UAT lifecycle: planning, test design, execution, defect management, RCA, and audit-ready signoffs
- Coordinate parallel test streams across Business, IT, and Engineering with clear accountability and outcomes
- Translate BRDs/BIDs into user stories and test scenarios; maintain SOX-compliant documentation and traceability
- Lead retrospectives and drive continuous improvement actions
- Define enablement standards (SOPs, training) and evolve toward automated testing frameworks
- Lead senior stakeholder forums and own executive communications on status, risks, and actions
- Build and maintain OTR systems flow documentation; partner with IT/Engineering and leverage AI to keep it current
- Own production health and month-end close readiness; drive RCA and reduce recurring issues
- Lead backlog prioritization and tech debt management using data-driven impact analysis
- Support data migrations and contribute to data quality and metadata standards; expand scope as the function scales
What we look for:
- 6–8+ years in Revenue/Business Ops, Financial Systems, or Consulting with strong OTR (Order-to-Cash) expertise
- Hands-on with Salesforce CPQ and ERP systems (NetSuite/SAP preferred)
- Strong knowledge of ASC 606, revenue recognition, and usage/consumption-based billing
- Deep understanding of OTR system integrations, data flows, and transformation logic
- Proven ownership of full UAT lifecycle in financial/OTR systems
- Strong analytical skills; comfortable using data tools (SQL a plus) and AI for validation and insights
- Experience drafting BRDs/BIDs and building process/system flow documentation; data migration validation is a plus
- Self-driven, thrives in ambiguity, and effectively influences senior stakeholders with data-backed communication
- Leverages AI tools to scale output; maintains high quality standards and mentors junior team members
- Flexible to work IST with overlap into PST as required
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
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.
Ready to apply?
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.
Ready to apply?
Apply to Valtech
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 position that requires 2 days per week in office at our Bangalore location**
Reporting to Sr Director, The PMO Analyst will be working closely with project/team leads across multiple functions and regions, the PMO Analyst will administer core PMO tools, maintain key reports and dashboards, and help ensure that project and portfolio information is accurate, timely and accessible. This role suits someone detail oriented who enjoys working with data, has excellent knowledge and experience of PMO tools/systems and is ready to embrace AI and automation within PMO.
HOW WE’LL BE WINNING TOGETHER DAY TO DAY
- Administer and support core PMO tools, including PSA and related platforms/integrations (e.g. SuiteProjects Pro/OpenAir, Wrike, Salesforce, ADP) in line with agreed standards.
- Build, maintain and improve operational and portfolio reports and dashboards using BI and associated tools (e.g. Power BI, Databricks, Excel, AI & automation tools).
- Produce regular project and portfolio reporting for PMO, Ops and global leadership teams, ensuring data is accurate, consistent and clearly presented.
- Support tracking of portfolio health, risks, issues, utilization and capacity, highlighting trends or anomalies for further review.
- Monitor and govern adherence to agreed PMO processes and templates, and work with PMs and functional teams to resolve basic process or data issues.
- Contribute to continuous improvement by suggesting enhancements to tools, reports and processes, including opportunities for automation and AI-assisted efficiency.
- Act as a helpful point of contact for PMO tooling and reporting queries, working effectively across time zones.
- Contribute to building a modern, AI-enabled PMO capability.
- Act as the go-to expert for PMO tooling, supporting users and resolving data/process issues.
- Go beyond reporting: highlight trends, risks, and actionable insights (capacity issues, utilization trends, delivery risks).
WE SHOULD TALK IF THIS SOUNDS LIKE YOU
- Bachelor’s degree in business, Information Systems, Engineering, Mathematics or a related field.
- 3–7 years’ experience in PMO, reporting, business analysis, operations or similar data/analytics-oriented roles.
- Experience in a professional services, SaaS or technology implementation environment is advantageous.
- Strong Excel skills (formulas, pivot tables, lookups, basic modelling).
- Practical experience with BI/reporting tools (e.g. Power BI, Tableau or similar).
- Experience with PSA or PPM tools and a good understanding of project, resource and time-entry data (e.g. SuiteProjects Pro, Wrike etc).
- Familiarity with CRM tools (e.g. Salesforce) is an advantage.
- Strong knowledge of and interest in AI tools, automation trends & innovations (particularly Copilot)
- Experience working in or alongside a PMO, project support, reporting or business operations function.
- You will own the integrity, usability, and evolution of PMO data, reporting, and tooling, ensuring leadership has accurate, timely, and actionable insights.
- Understanding basic project management concepts such as agile, waterfall, full project lifecycle, RAID, status reporting, change control etc.
- Able to work across multiple projects simultaneously and pivot to new initiatives at short notice as required.
- High attention to detail and strong focus on data accuracy and completeness.
- Excellent written and verbal communication skills (English)
- Ability to work independently, manage multiple tasks, and meet deadlines in a global, remote setting.
- Proactive mindset: identifies problems and drives solutions, not just reports them.
- Confident working with stakeholders across functions and seniority levels.
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.
Ready to apply?
Apply to Syndigo
Senior Machine Learning Engineer
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
About the Opportunity
We are building the next generation of contextual AI for Industrial Operations. Our team focuses on transforming unstructured, complex industrial data—ranging from technical manuals to complex piping and instrumentation diagrams (P&IDs)—into structured, actionable intelligence. We leverage state-of-the-art Deep Learning, Generative AI, and Computer Vision to drive efficiency, safety, and operational excellence.
About the Role
As a Senior Machine Learning Engineer, you will be the engine of our contextualization initiatives, taking independent ownership of complex ML features from conception to production. You will bridge the gap between data science and software engineering, building the models and the surrounding infrastructure that parse complex industrial documents, extract multimodal entities, and interpret intricate engineering diagrams.
To be clear: this is an engineering-first role. We are not just looking for researchers to build isolated models; we need builders who write production-grade code, build robust APIs, and solve complex infrastructure problems. You will treat ML models as software components integrated into a highly scalable archite
How you’ll demonstrate Ownership- System-minded, focused on maintainability, rigorous testing, and automated pipelines for reliable ML production.
- Thrives in ambiguity, independently defining the technical path, selecting tools judiciously, and driving solutions to completion.
- Elevates team code quality through constructive reviews and informal mentorship, bridging the gap between research and production
The Impact you bring to Cognite
Key Responsibilities
- Take product requirements and independently design, train, test, and deploy ML models (e.g., NLP, Vision-Language Models) for document parsing, layout analysis, and entity matching.
- Write high-quality, scalable production code (Python). Wrap your ML models into robust RESTful or gRPC APIs and integrate them seamlessly into existing industrial master data systems and workflows.
- Implement and maintain CI/CD pipelines for your models. Navigate complex deployment environments, manage containerized applications (Docker/Kubernetes), and optimize inference bottlenecks.
- Work with Principal engineers to translate high-level system architectures into concrete, scalable data pipelines and production-ready microservices.
- Design automated testing for ML pipelines. Monitor deployed models in production for data drift, latency, and accuracy, proactively implementing retraining strategies.
- Collaborate effectively with product managers to define ML capabilities. Provide code reviews and informal technical mentorship to engineers.
Required Skills and Qualifications
- Bachelor’s or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
- 6–10 years of industry experience in software engineering with a strong focus on machine learning, MLOps, and API development.
- Strong programming skills in Python with experience using backend web frameworks (e.g., FastAPI, Flask, Django) to serve models.
- Solid expertise in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.
- Hands-on experience with containerization (Docker, Kubernetes), Linux environments, CI/CD tools (GitHub Actions, Jenkins), and deploying models on cloud platforms (AWS, Azure, or GCP).
- Solid understanding of software architecture, data structures, and algorithms to ensure performant code.
- Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Ray, Dask) and orchestrating complex data workflows (e.g., Apache Airflow, Dagster, Prefect).
What Sets your Role Apart
- Independently define the technical ML/SWE approach for ambiguous feature requests and deliver to production.
- Recognize the model is a small part of the solution; expertly manage aspects like API rate limiting, asynchronous processing, and robust data routing around ML components.
- Possess hands-on experience maintaining production ML models and designing resilient systems against poor data quality..
Preferred Qualifications
- Proven experience fine-tuning and deploying multimodal models for visual data and engineering diagrams in live environments.
- Built robust, production-grade RAG pipelines, expertly utilizing Vector/Graph Databases for high-accuracy entity retrieval.
- Familiar with orchestrating multi-step reasoning using frameworks like LangGraph or AutoGen for real-world problem-solving.
- Strong understanding of advanced OCR, layout parsing, and techniques for consistent structured JSON extraction from complex industrial PDFs. Manufacturing/OT dataset experience preferred.
- Ability to optimize LLMs/VLMs for inference latency (quantization, TensorRT, vLLM), potentially in constrained, on-premises environments.
- Experience with modern data lake/lakehouse architectures (Delta Lake, Iceberg, Databricks) for efficient querying and preprocessing of petabyte-scale unstructured data for LLM/VLM training and RAG.
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Strategic 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?
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Data Analyst III
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ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfil the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue.
Role Overview: ZoomInfo is seeking a Data Analyst III to join the Data Operations and Analysis team. This role partners closely with Product, Engineering, and Research teams to enhance data infrastructure, improve data quality, and deliver actionable insights that drive business impact.
Key Responsibilities:
- Develop a deep understanding of data systems, pipelines, and infrastructure.
- Analyze current data processes, identify gaps, and recommend scalable improvements.
- Drive initiatives to enhance data accuracy, coverage, and efficiency.
- Collaborate cross-functionally with Data Engineering, Product, and Research teams.
- Perform advanced data analysis and present insights in a clear, structured manner.
- Mentor junior analysts and contribute to team capability building.
- Work independently to explore data, propose solutions, and execute projects end-to-end.
Core Competencies:
- Strong analytical thinking and problem-solving ability.
- Ability to work in ambiguous environments and drive clarity.
- Effective communication with both technical and non-technical stakeholders.
- High attention to detail and strong organizational skills.
- Self-driven with the ability to manage multiple priorities.
Required Qualifications:
- 5+ years of experience in analytics, data operations, or quantitative research.
- Advanced proficiency in SQL, Python, BigQuery, and Excel.
- Strong understanding of ETL processes and data quality challenges.
- Experience working with large-scale datasets.
- Familiarity with AI/ML concepts including NLP and data modeling.
Preferred Qualifications:
- Experience building or deploying AI/ML solutions.
- Exposure to tools like Tableau or Looker Studio.
- Experience with Databricks, AWS, or Airflow.
- Background in product-driven or project-based environments.
Impact: This role plays a critical part in shaping the future of ZoomInfo’s data ecosystem by improving data reliability, scalability, and strategic value.
#LI-SG2
#LI-Hybrid
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For 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. ZoomInfo does not administer lie detector tests to applicants in any location.
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Senior Data Engineer
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At Rockstar Games, we create world-class entertainment experiences.
Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly motivated environment where you can learn and collaborate with some of the most talented people in the industry.
Rockstar is seeking a Senior Data Engineer to join our online services team, building an innovative game analytics platform and tools to better understand our players and enhance their experience across our titles.
This is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India.
WHAT WE DO
- The Rockstar Games Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.
- We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.
RESPONSIBILITIES
- Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools.
- Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation.
- Implement automated data quality frameworks and validation of pipelines.
- Build observability systems to monitor data integrity, drift, and system health. Troubleshoot complex data infrastructure and pipeline issues.
- Design analytics-ready datasets that power business intelligence and operational reporting.
- Partner with diverse stakeholders (including Data Scientists, Analysts, and ML Engineers) to define use cases and build robust data products.
- Translate large datasets into actionable insights for leadership and product teams.
- Explore emerging technologies including modern data platforms, distributed computing frameworks, build proof-of-concept solutions, and continuously improve platform scalability, performance, and cost efficiency
REQUIREMENTS
- 6+ years’ experience in building data pipelines, distributed systems, or large scale data platforms on major clouds (Azure preferred).
- Strong software engineering fundamentals: design patterns, testing strategies (unit, integration) code review practices, system design thinking Experience with big data frameworks such as Spark or Databricks.
- 4+ years’ experience using Python for maintainable, testable data engineering and Spark or Databricks for large scale processing.
- Experience with workflow orchestration tools such as Airflow.
- Experience with streaming technologies, notably Kafka, in distributed environments.
- Proven work handling high volume structured and unstructured data (logs, telemetry, text) at scale.
- Familiarity with AWS, Azure, or GCP data services and building cloud native data architectures.
- Cross functional collaborator with strong communication skills for explaining complex systems to technical and non technical audiences.
PLUSES
Please note that these are desirable skills and are not required to apply for the position.
- Databricks platform experience (Delta Lake, Unity Catalog, Workflows).
- Containerization and orchestration (Docker, Kubernetes).
- Experience with Snowflake, Cassandra, or other modern data platforms.
- Experience building, maintaining, or scaling ML infrastructure.
- Experience with CI/CD and deployment tools (TeamCity, Octopus) and Artifact Repositories (JFrog, Proget).
- Experience with Terraform.
- Gaming industry experience or passion for games.
HOW TO APPLY
Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.
Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.
If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
#LI-RN1
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Sr. Specialist Solutions Architect - Builder Team
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FEQ327R142
As a Senior Specialist Solutions Architect – Builder Team, this role designs, builds, maintains, and supports projects that integrate and extend the Databricks platform to accelerate data and AI use cases. The position contributes to the roadmap for specific priority projects, helps evaluate partner solutions, and delivers high-quality, production-ready implementations.
This role also supports the infrastructure used to maintain Databricks Labs, enabling field engineering teams to contribute to tooling efforts more effectively. The ideal candidate brings strong customer empathy, a product mindset, and the ability to translate tooling needs into robust backend systems.
The impact you will have
- Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem, with a focus on scalable and reliable backend services and automation.
- Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and related ecosystems.
- Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization.
- Apply and contribute to engineering best practices, coding standards, and reusable patterns for Labs projects, ensuring consistent and maintainable solution delivery.
- Collaborate with cross-functional teams—including Field Engineering, Product, and Platform Engineering—to clarify requirements, propose technical approaches, and deliver projects
- Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and the automation tooling ecosystem.
- Own the design and implementation of small to medium-sized projects end to end, and partner with Lead Specialist Solutions Architects on larger, cross-team initiatives.
- Participate in code reviews, design reviews, and incident response, helping improve reliability, observability, and developer experience for field teams.
What we look for
- Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed.
- Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required.
- Passion for defensive programming and building highly scalable and reliable software.
- Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems, such as embedding LLMs, recommendation models, or other ML services into backend applications with appropriate reliability, observability, and security controls.
- BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Partner Solutions Architect
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SLSQ127R200
As a Partner Solutions Architect (PSA) for India, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.
The impact you will have:
- Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
- Engage with the partner technical community by leading workshops, seminars, and meet-ups
- You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
- Show expertise by producing creative technical solutions and blog posts
What we look for:
- 8 years of customer facing experience working with external clients or partners across a variety of industry markets
- Core strength in either data engineering or data science
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Experience developing architectures within a public cloud (AWS, Azure, or GCP)
- Hands on experience in SQL, Python, Scala, or Java
- Expertise in at least one of the following:
- Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
- Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
- Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Solutions Architect: Data & AI
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FEQ227R52
As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.
The impact you will have:
- You will be a Big Data Analytics expert on aspects of architecture and design
- Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
- Support your customers by authoring reference architectures, how-tos, and demo applications
- Integrate Databricks with 3rd-party applications to support customer architectures
- Engage with the technical community by leading workshops, seminars and meet-ups
- Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value
What we look for:
- Strong consulting / customer facing experience , working with external clients across a variety of industry markets
- Core strength in either data engineering or data science technologies
- 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
- 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
- 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
- Coding experience in Python, R, Java, Apache Spark™ or Scala
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of Role
We are seeking a highly skilled Cloud Data Engineer to join our Managed Services team. In this role, you will be the technical backbone for our enterprise clients, responsible for designing, building, and maintaining high-performance data platforms using Snowflake and Azure Databricks. You will act as a trusted advisor, ensuring that our customers' data ecosystems are scalable, secure, and cost-optimized across multi-cloud environments.
Key Responsibilities
- Platform Engineering: Design and implement end-to-end data lakehouse architectures using Azure Databricks (Delta Lake),Azure HDInsights and Snowflake Cloud Data Warehouse.
- Pipeline Development: Build scalable, metadata-driven ETL/ELT pipelines using Azure Data Factory (ADF), PySpark, and SnowSQL, including ingestion workflows from HDInsight-managed Hadoop and Kafka clusters.
- Managed Services Support: Provide Tier-3 technical support for client environments, including performance tuning, complex bug fixes, and architectural optimizations.
- Multi-Cloud Integration: Oversee data movement and integration strategies across Azure, AWS, and GCP to ensure seamless "Data Everywhere" capabilities for clients.
- Cost & Performance Governance: Monitor and optimize Snowflake credit consumption and Databricks cluster usage to ensure clients receive maximum ROI.
- Security & Compliance: Implement enterprise-grade security including Role-Based Access Control (RBAC), Row-Level Security (RLS), and data masking (Dynamic Data Masking in Snowflake / Unity Catalog in Databricks).
Required Technical Skillset
|
Category |
Must-Have Skills |
|
Snowflake |
Snowpipe, Streams & Tasks, Dynamic Tables, Zero-Copy Cloning, and Snowpark (Python/Java), Data Sharing. |
|
Azure Databricks |
Spark SQL, PySpark, Delta Lake, Unity Catalog, and Medallion Architecture (Bronze/Silver/Gold) |
|
Orchestration |
Azure Data Factory, Airflow, or dbt (Data Build Tool). |
|
Cloud Infrastructure |
Azure Data Lake Storage (ADLS Gen2), Azure DevOps (CI/CD), and Terraform/Bicep for IaC. |
|
Languages |
Advanced SQL (Window functions, CTEs) and Python. |
Experience & Qualifications
- Experience: 5+ years in Data Engineering, with at least 3 years of hands-on experience in both Snowflake and Databricks.
- Managed Services Background: Proven experience supporting external customers with strict SLAs and complex governance requirements.
- Multi-Cloud (Plus): Direct experience deploying Snowflake or Databricks on AWS or GCP is highly desirable.
- Certifications (Preferred): * SnowPro Core or Advanced Architect
- Databricks Certified Data Engineer Professional
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
Ready to apply?
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DevOps Engineer
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Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.
Designation :DevOps Engineer
Location: Bangalore
Work Mode: Hybrid
Experience Required: 2–4 years
Job Summary
We are looking for a Professional Services OPS Engineer to support client-facing data
operations and workflow execution. This role focuses on job monitoring, issue resolution,
data sharing, and operational support across multiple platforms to ensure reliable and
timely client deliverables.
Key Responsibilities
• Monitor and troubleshoot job failures in Visual Cron, Argo, and Databricks
• Perform root-cause analysis and implement fixes to maintain workflow stability
• Build, schedule, and maintain workflows using Visual Cron, Argo, Databricks Jobs, and
Snowflake Tasks
• Manage data sharing and deliveries via Databricks Share, Snowflake Share, S3, and SFTP
• Push MDE and non-MDE data to client environments post job success
• Support monthly refresh cycles, reruns, backfills, and ad-hoc operational requests
• Handle client and internal PS inquiries related to deliverables and missing files
• Collaborate with internal teams to improve operational processes
Required Skills
• Hands-on experience with job schedulers (Visual Cron preferred)
• Argo or Airflow workflow orchestration
• Strong working knowledge of Databricks
• SQL for data validation and troubleshooting
• Python for scripting and automation
• Basic knowledge of S3
• Experience with SFTP-based data deliveries
Good to Have
• Snowflake Tasks and Snowflake Share
• Azure Blob Storage Exposure and Experience supporting client-facing or production systems.
Ready to apply?
Apply to Definitive Healthcare, India
Data Engineer
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Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.
Job Description – Data Engineer
About the Role
We are looking for a candidate who is passionate about building scalable data pipelines, optimizing data workflows, and ensuring high data quality across systems. Candidates should demonstrate strong technical foundations, the ability to work independently, and a willingness to collaborate in a dynamic environment.
Core Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines to support business and analytical needs.
- Work extensively with Databricks, Python, and PySpark to process large datasets.
- Build and manage DAGs using Apache Airflow for workflow orchestration.
- Collaborate with cross-functional teams to understand data requirements and translate them into efficient engineering solutions.
- Develop and optimize complex SQL queries and participate in data modeling activities for relational and cloud data warehouses.
- Work with Amazon S3 for data storage, ingestion, partitioning, and integration within broader data lake and pipeline ecosystems.
- Ensure high standards of data quality, reliability, and performance across all data processes.
- Contribute to documentation, best practices, and continuous improvement initiatives.
Core Technical Requirements
- Python Programming
- Strong experience writing clean, efficient Python code for data manipulation, automation, scripting, and ETL workflows.
- Familiarity with widely used data libraries (e.g., pandas, numpy).
- Databricks
- Hands-on experience with Databricks for distributed data processing.
- Proficiency in PySpark, Delta Lake, notebooks, and building scalable pipelines.
- Orchestration Tools
- Apache Airflow (Required): Ability to design, implement, and maintain complex DAGs for scheduling and orchestrating workflows.
- Argo Workflows (Preferred): Experience with Kubernetes-native orchestration platforms is an added advantage.
- SQL Skills
- Advanced SQL expertise including writing complex queries, query optimization, and working with relational/cloud data warehouses.
- Experience in data modeling and performance tuning.
- Cloud Storage (Amazon S3)
- Practical knowledge of S3 for ingestion, storage, data partitioning, access control, and integration as part of data lake architectures.
Experience Level
2–5 years in Data Engineering or related roles..
Preferred Personal Attributes
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced, evolving environment.
Ready to apply?
Apply to Definitive Healthcare, India
Delivery Solutions Architect
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CSQ426R157
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
- Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
- Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
- Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
- Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
- Main use cases moving from ‘win’ to production
- Enablement / user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
- Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
- Executive and operational governance
- Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM
What we look for:
- 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Understanding of solution architecture related distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverables
- Technical program, or project management including account, stakeholder and resource management accountability
- Experience resolving complex and important escalation with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- Track record of overachievement against quota, Goals or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Can travel up to 30% when needed
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Engineering Manager - Core Experiences
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P-995
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences.
Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth.
As an Engineering Manager in the Core Experiences Platform Org, you will build and operate highly available and scalable platforms which serve multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud. You will report directly to the Sr. Manager of Engineering.
The Impact You Will Have:
- You will hire great engineers to build an outstanding team
- You will support engineers in their career development by providing clear feedback, as well developing engineering leaders
- You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
- You will work with engineering and product leadership to build a long-term roadmap
- You will coordinate execution and collaborate with multiple product teams with feature requests from the platform
What We Look For:
- Great at hiring and developing talent, especially leadership
- Great at creating efficient processes that increase velocity and quality
- 2+ years of experience in managing teams that build and operate high-volume distributed systems in a SaaS environment
- 5+ years of experience with distributed systems and building platforms and services which serve multiple product teams and customers
- Have experience in scaling engineering teams from 5 to 20+
- Team player that will work with other departments (PM, CS) and engineering teams.
- BS or higher in Computer Science, or a related field
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Engineering Manager (Ingestion)
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P-995
About the Team
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.
In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.
We are looking for a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries.
The impact you will have:
- Solve real business needs at a large scale by applying your software engineering
- Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
- Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
- Manage technical debt, including long term technical architecture decisions and balance product roadmap
- Leading and participating in technical, product, and design discussions
- Building, managing, and operating a highly scalable services in the cloud
- Growing leaders on the team by providing coaching, mentorship, and growth opportunities
What we look for:
- 11+ years of industry experience building and supporting large-scale distributed systems
- Building, growing, and managing high-performance teams
- Ability to attract and hire engineers who meet the Databricks hiring principles
- Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
- Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Engineering Manager - Backend
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P-995
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.
- Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
- Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
- Build tools to allow Databricks engineers to operate their services across different clouds and environments
- Build services, products and infrastructure at the intersection of machine learning and distributed systems.
The impact you will have:
- Hire great engineers to build an outstanding team.
- Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
- Work with engineering and product leadership to build a long-term roadmap.
- Coordinate execution and collaborate across teams to unblock cross-cutting projects.
What we look for:
- 10+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
- Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up
- Extensive experience managing a team of strong software engineers
- Partner with PM, Sales, and Customers to develop innovative features & products.
- BS (or higher) in Computer Science, or a related field.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Staff Software Engineer - Data Platform
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P-375
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few.
The impact you will have:
- Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company.
- Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
- Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
- Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools. Provide early feedback on the design and operations of these products.
- Represent Databricks at academic and industrial conferences & events.
What we look for:
- BS/MS/PhD in Computer Science or related majors, or equivalent experience.
- 10+ years of industry experience building and operating large-scale distributed systems.
- 4+ years of experience providing technical leadership on planet-scale production data systems
- Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).
- Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments.
- A strategic mindset with the ability to align engineering execution with longer-term product and company goals.
- Passion for mentoring and developing other engineers.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Staff Software Engineer - Databases
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P-375
At Databricks, we build powerful infrastructure that accelerates innovation and enables data teams to deliver with confidence and scale. Our unified schema migration platform underpins automated, observable, and developer-friendly workflows—ensuring Databricks can continue evolving rapidly across thousands of databases and 60+ mission-critical services.
What You’ll Do
As a Staff Software Engineer, you’ll lead the design, development, and reliability of our global platform that manages schema and data changes at scale:
- Schema Migration Platform: Architecting and maintaining automated schema change infrastructure for MySQL and TiDB, while implementing versioning, rollback, validation, and auditing for safe, predictable, and fast migrations.
- Scale, Reliability & Test Harness: Ensuring the platform operates across thousands of global databases with zero downtime, enhancing resilience, observability, and recovery, and building a test harness for migration and deployment validation.
- Developer Experience & CI/CD Integration: Designing intuitive tools and APIs for seamless schema and data change management, and embedding migration workflows into CI/CD pipelines to increase velocity and reduce friction.
- Schema & Data management: Designing infrastructure for safe, large-scale schema and data operations like backfills and purging. This includes ensuring backfill operations are monitored, retryable, minimally disruptive, and automated to align with schema/data evolution and maintain data integrity.
Your role will be crucial in:
- Ensuring the scalability and reliability of schema and data operations across Databricks’ global footprint.
- Driving predictable deployments by architecting robust test harnesses and automation.
- Elevating the developer experience by building accessible, resilient tools that make complex migrations feel simple.
- Guaranteeing the integrity of both schema and data through safe, efficient backfill strategies.
What we look for:
- 12+ years of professional experience in backend systems or platform engineering.
- Experience in building platforms, infrastructure, or database engineering, especially with MySQL, TiDB.
- Track record of building and scaling mission-critical platforms supporting high-throughput, global services.
- Experience with schema migration frameworks, CI/CD automation and developer tooling.
- Champion of developer experience, creating clear, reliable, and user-friendly workflows.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Software Engineer - Data + AI Observability
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P-1385
Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Senior Software Engineer on the Customer Foresight Team, you'll lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs. You will build data infrastructure that processes billions of entries daily, deploy to over 65 cloud regions worldwide, and enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs.
This role requires leading the technical development of product milestones from refinement of requirements, through execution, operation, and iterating with the broader product development team and partner teams to ensure product success.
The impact you will have:
- Develop systems that make it simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
- Make it easy for frameworks teams across Databricks to publish their data to customers
- Effectively lead large milestones from the observability roadmap, contribute to the long-term vision and requirements development for Databricks products
- Mentor other engineers towards contributing to the product and their career growth
- Optimize the scalability and cost of large data pipelines towards reducing costs for customers and opening up new product opportunities
- Drive integration with popular tools and services in the broader data warehousing ecosystem
What we look for:
- 6+ years of production level experience in one of: Java, Scala, Python, C++, or similar language
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
- Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
- Strong software engineering maturity: security, correctness, engineering excellence, operational excellence
- Platform mindset: effective building platforms for other software teams, iterating quickly to reduce friction to adoption, advocating for platform use
- Cross-functional skills: we have platform customers internal at Databricks as well as external customers, which requires strong cross-functional skills
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Software Engineer - Backend
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P-1385
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.
The impact you'll have:
Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:
- Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
- Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
- Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.
What we look for:
- BS (or higher) in Computer Science, or a related field
- 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures
- Proficiency in one or more backend languages such as Java, Scala, or Go.
- Hands-on experience in developing and operating backend systems.
- Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr Staff Software Engineer (Backend)
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(P-1174)
We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.
Key Characteristics
As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.
Job Description
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.
The Impact you will have:
- Solve real business needs at large scale by applying your software engineering.
- Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
- Low level systems debugging, performance measurement & optimization on large production clusters.
- Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
- Use your deep experience to help prevent and investigate production issues.
- Plan and lead complicated technical projects that work with several teams within the company.
- A strong influencer or driver in the organization’s roadmap and direction.
- Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
- Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
- Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.
What we look for:
- 15+ years industry experience building and supporting large-scale distributed systems.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value and impact.
- Strong foundation in algorithms and data structures and their real-world use cases.
- Experience driving company initiatives towards customer satisfaction.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Staff Software Engineer- Networking
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(P-1174)
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.
We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds.
In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.
You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.
This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.
What we look for:
- 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
- 10+ years of experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Staff Software Engineer (Backend)
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(P-1174)
We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.
Key Characteristics
As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.
Job Description
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.
The Impact you will have:
- Solve real business needs at large scale by applying your software engineering.
- Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
- Low level systems debugging, performance measurement & optimization on large production clusters.
- Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
- Use your deep experience to help prevent and investigate production issues.
- Plan and lead complicated technical projects that work with several teams within the company.
- A strong influencer or driver in the organization’s roadmap and direction.
- Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
- Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
- Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.
What we look for:
- 15+ years industry experience building and supporting large-scale distributed systems.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value and impact.
- Strong foundation in algorithms and data structures and their real-world use cases.
- Experience driving company initiatives towards customer satisfaction.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Software Engineer (Data Platform)
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P-1348
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.
We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.
As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.
The impact you will have:
- Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
- Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
- Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
- Design the base ETL framework used by all pipelines developed at the company.
- Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
- Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.
- Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
- Represent Databricks at academic and industrial conferences & events.
What we look for:
- 6+ years of industry experience
- 4+ years of experience providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.
- Experience building, shipping and operating reliable multi-geo data pipelines at scale.
- Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.
- Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.
- Excellent cross-functional and communication skills, consensus builder.
- Passion for data infrastructure and for enabling others by making their data easier to access.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Manager Software Engineering
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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is looking for a technical Senior Engineering Manager to join the engineering leadership team with a passion for data movement. You will be working closely with engineers and product managers to build the future of the Fivetran Data Platform.
As a Senior Engineering Manager, you will lead a team of engineers, and coordinate with other stakeholders at the company, including product management, support engineers, and sales engineers. You will own development for Fivetran’s world-class destinations for our entire customer base. The work you will do is critically important to the long term growth and success of Fivetran.
You will own the entire software development lifecycle for your team delivering capabilities that are critical to making our many customers successful. You will take full responsibility for the quality, efficiency, and reliability of your focus areas; and you will build and maintain a team that reliably delivers excellent results while maintaining a culture of engagement, fairness, and continuous improvement.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
- Java, Postgres, GCP, AWS, Azure, SQL, Snowflake, BigQuery, Bazel, BuildKite, Docker, Kubernetes
What You’ll Do
- Lead your technically through project management, technical design authoring, and reviewing development work.
- Become an expert on what it takes to support our customers in the major CDWs.
- Develop engineers on your team and help them advance in their careers.
- Recruit engineers that are amongst the best in the industry, from outreach through close.
- You will diagnose and resolve obstacles that prevent your team from delivering high-quality software.
- Manage the processes necessary to operate the team effectively
- Contribute to engineering-wide initiatives as part of the engineering management team.
- You will foster an atmosphere of continuous improvement as a coach, mentor, and technical advisor to your team.
Skills We’re Looking For
- Strong Java programming experience with 10+ years of software engineering experience, including 4+ years in engineering leadership roles.
- Strong track record as an IC delivering high impact software.
- Strong leadership skills and a proven ability to motivate teams to produce high quality software.
- Aptitude in decision making and problem-solving.
- Demonstrated competency in development processes, with project and program leadership.
- Ability to develop and communicate across teams to get an effective vision and get buy-in from stakeholders.
- Ability to assess and iterate within an evolving software and services environment.
- Java programming experience with demonstrated technical skills in application or platform engineering.
Optional Bonus Skills:
- Experience developing integrations to major warehouses like Snowflake, Bigquery, and Databricks.
- Experience in data processing (ETL, ELT) and/or cloud-based platforms.
- Experienced working in a cloud environment utilizing AWS, GCP, Postgres, Kubernetes, Docker, BuildKite, or similar technologies.
#LI-HYBRID
#LI-AV1
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
Senior Developer Content Manager, Connector SDK
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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
As Senior Developer Content Manager for Connector SDK, you will drive developer adoption through hands-on enablement content and community engagement. You'll create the tutorials, walkthroughs, and code samples that get developers successfully building with Fivetran's Connector SDK. You'll write Python alongside prose, engage directly with developers and open source contributors, and think constantly about onboarding — what's confusing, what's missing, what makes someone give up. You'll work closely with the Connector SDK technical writing team who own the reference documentation, and bridge engineering, product, and go-to-market teams to drive adoption and growth.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. You will report to the Director of Technical Writing.
Technologies You’ll Use
- GitHub for version control, open source community management and code review
- AI coding assistants (GitHub Copilot, Claude, ChatGPT) for content creation and code examples
- Python for creating connector examples, reviewing community code, and hands-on enablement
- Video creation tools for tutorial and demo content
- Community platforms such as Slack communities, forums
- Content management such as docs-as-code, Slab, Google Slides, YouTube
What You’ll Do
- Define the Connector SDK developer content and community strategy, including metrics to measure impact and success
- Create tutorials, quickstart guides, code walkthroughs, and video content optimized for AI-assisted development workflows
- Develop and maintain working Python code samples that demonstrate connector patterns developers can use and adapt
- Work with the Connector SDK technical writing team to ensure learning content and documentation resonate with code-first audiences
- Partner with Marketing on developer-facing blog posts, case studies, technical thought leadership content and other developer relations activities
- Build and grow the Connector SDK developer community through remote and in-person hackathons, meetups, conferences, and strategic partnerships
- Own the Connector SDK open source community and contributors' experience, managing contributions and facilitating PR reviews with Engineering and Technical Writing teams
- Enable Sales and Solution Architecture teams through training materials, technical playbooks, and hands-on workshops
- Advocate for resources from Marketing, Product, and Engineering to support high-impact Connector SDK initiatives
Skills We’re Looking For
- 5+ years in developer relations, technical community management, or developer-focused content creation
- Ability to work on a schedule that overlaps with global colleagues - available until 12 noon PST/PDT most days.
- Proven experience creating developer-facing educational content: tutorials, videos, code walkthroughs, workshop materials, or similar hands-on material
- Working Python skills: can read, write, and debug code, review PRs, and create working examples
- Experience organizing hackathons, meetups, conferences, or managing open source communities
- Demonstrated success driving measurable adoption metrics for developer-facing products
- Strong cross-functional collaboration with ability to align Engineering, Product, Marketing, and GTM teams
- Strategic thinker who identifies high-impact opportunities and executes with minimal oversight
Bonus Skills
- Experience with AI-powered development tools (GitHub Copilot, Claude, ChatGPT)
- Background in data engineering, ETL/ELT pipelines, data integration, or analytics engineering
- Technical writing or documentation experience in B2B SaaS environments
- Software engineering background or computer science education
- Active presence in developer communities
- Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks) and modern data stack tools
- Video production and editing skills for technical content
#LI-HYBRID
#LI-DB1
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
About Mixpanel
Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.
About the Customer Success Team:
Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.
About the Role:
As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics. For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.
Responsibilities:
- Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
- Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
- Own the customer’s success with Mixpanel — documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
- Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
- Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
- Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
- Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
- Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues
- Bridge the technical-business gap with your customers — working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision
- Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
- Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients
We're Looking For Someone Who Has
- 3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations
- Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
- The ability to communicate with stakeholders at most levels of an organization — from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
- Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
- Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
- Excellent written, analytical, and communication skills
- Strong process and/or project delivery discipline
- Eager to learn new technologies and adapt to evolving customer needs
We'd Be Extra Excited For Someone Who Has
- Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
- Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
- Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
- Familiar with analytics best practices across business segments and verticals
#LI-Hybrid
Benefits and Perks
- Comprehensive Medical, Vision, and Dental Care
- Mental Wellness Benefit
- Generous Vacation Policy & Additional Company Holidays
- Enhanced Parental Leave
- Volunteer Time Off
- Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
*please note that benefits and perks for contract positions will vary*
Culture Values
- Make Bold Bets: We choose courageous action over comfortable progress.
- Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
- One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
- Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
- Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
- Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.
Why choose Mixpanel?
We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.
Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.
Ready to apply?
Apply to MixpanelSolution Engineer
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The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data.
As an Solutions Engineer, you will actively contribute to, architect for, and lead the company in the design and development of new infrastructure automation projects. You will be instrumental in helping us solve, by architecture and implementation, complex hybrid infrastructure problems among corporate’s robust inventory of networking systems, applications, and cloud infrastructure. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, reporting directly to the Global Head of Infrastructure and Data and engaging on projects under the guidance of the Lead Solution Architect..
You are a strong solutions engineer who is passionate about scalable, resilient, secure, and cost-efficient infrastructure solutions. You care about producing clean, elegant, maintainable, robust, well-tested code; you do this as a member of a team, helping the group come up with a better solution than you would as an individual. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.
Responsibilities:
- Designing and implementing complex and well-architected enterprise infrastructure and data solutions
- Work to improve existing systems, solutions, and process through architectural reviews and design enhancement initiatives
- Experience in devops methodologies and practices as applied to infrastructure, cloud, identity, integration and network solutions
- Improve systems to provide strict compliance adherence, security guardrails, and cost-optimization
- Contribute to the re-architecting of systems, solutions, and processes for more streamlined, scalable, and resilient implementations
- Contribute to well-architected, end-to-end provisioning solutions to a growing enterprise organization across multiple environments and types of infrastructure
- Build strong partnerships and engage with other teams at Sumo Logic to create solutions that enable and benefit all parties and increased derived value
Requirements:
- 3+ years of industry experience with a proven track record of ownership and delivery
- Experience developing scalable, secure, and resilient infrastructure architectures and implementations
- Experience in observability and cost-optimization in application, server, and cloud (AWS preferred) settings
- Experience working with on-premise (Fortinet) network devices on a system administration and configuration level
- Experience with DNS (CloudFlare and Route53 preferred) as well as VPN management (FortiClient, ZScaler, and Netskope preferred)
- Experience with Identity Providers (Okta preferred)
- Experience with Certificate Management (Digicert and AWS ACM preferred) and authentication
- Hands-on infrastructure as code experience (Terraform preferred) as well as CI/CD pipelines (Scalr and GitHub Actions preferred)
- Experience with writing automations and system integrations (Python preferred)
- Strong experience with AWS
- Excellent verbal and written communication skills
- Experience implementing robust and well-architected designs for enterprise scale systems
- Experience and comfort with an on-call schedule for enterprise systems during daylight hours regional time
Desirable:
- Experience in the following specific technologies is a plus:
- ADP
- Azure
- GCP
- Experience with Scalr
- Experience with AI tooling such as Boomi, Databricks (AI portions), AWS Bedrock, Gemini, and Claude
- Experience with Databricks as a whole
- CCNA, CCNP, or equivalent network certifications
- You should have a passion for continuous learning and deep technological curiosity
- Agile development experience and a familiarity with Jira, sprints, and pointing
About Us:
Sumo Logic, Inc., empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
Ready to apply?
Apply to Sumo Logic
Staff Software Engineer - Backend
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P-926
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - across 10 new teams that we're setting up from scratch !
As a Staff Software Engineer at Databricks India, you can get to work across :
- Backend
- DDS (Distributed Data Systems)
- Full Stack
The impact you'll have:
1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
- Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
- Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.
2. Our DDS team spans across:
- Apache Spark™
- Data Plane Storage
- Delta Lake
- Delta Pipelines
- Performance Engineering
3. As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.
What we look for:
- 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
- BS (or higher) in Computer Science, or a related field
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Software Engineer - Search
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P-926
The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks.
As our Search product continues to evolve, we are seeking multiple ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.
Key Responsibilities
- Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services.
- Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.
- Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.
- Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.
What We’re Looking For
- BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
- 5+ years experience developing search relevance systems at scale in production or in high-impact research environments.
- Experience applying LLM to search relevance
- Experience in one or more of the following:
- Query understanding
- NLP
- Text mining
- Recommendations
- Personalization
- Discovery
- Conversational AI
- Strong understanding of computer science fundamentals.
- Contributions to well-used open-source projects.
Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks