Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. 

A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. 
• Contribute to the design standards and architectural principle standards, designs and processes.
• Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
• Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
• Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
• Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
• Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
• Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
• Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
• Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
• Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
• Familiarity with AWS solutions such as S3, EC2, VPC.

As a global leader in Collaborative Work Management and with a market cap of $10bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 9 teams with over 70 engineers in 2024. As we expand into India and build out a new operation, we're searching for a talented and motivated Principal Analytics Engineer (Data Architect) to serve as a thought leader in our data-driven decision-making. You will be responsible for the end-to-end system design and architecture of our business critical analytical systems (DWs). This role will be responsible for the design and development of a governed, reliable, and scalable analytics ecosystem, transforming raw data into high-value, performant data products for DS/ML, analytics, and reporting.

A key aspect of this role is providing thought leadership and architecting efficient, large-scale data transformation systems within Snowflake. You will have demonstrated experience architecting data solutions for SaaS companies, specifically within the Go-To-Market (GTM), Marketing, Customer Experience, and Financial business domains. Working as a strategic advisor to BI analysts, Data Scientists, and business leadership, you will drive the organization's data strategy, ensure data accessibility, and foster data democratization across the enterprise.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Lead the end-to-end system design and architecture for large, complex analytics systems, optimizing data transformations from our data lake in Snowflake into analytical data products (DWs).
• Define and drive the adoption of design standards, architectural principles, and data modeling methodologies (including Data Vault (DV 2.0) and dimensional modeling) across the organization.
• Propose and drive strategic initiatives and coordinate the technical roadmap for analytical systems across the engineering organization partnering closely with the Big Data Platforms (BDP) team.
• Serve as the data architect for critical SaaS business domains, including Go-To-Market, Marketing, Customer Experience, and Finance, translating ambiguous business problems into scalable technical analytical solutions.
• Develop and implement the organization's data strategy for data quality, observability, and testing, raising the bar for engineering quality.
• Architect and guide teams to build and maintain a governed, robust, reliable, and scalable analytics system leveraging Gen AI capabilities including AI-assisted code development practices.
• Act as a trusted advisor to BI analysts, data scientists, and business leaders, educating and advising leadership on technical data topics and data accessibility strategies.
• Foster data democratization via activation of data on critical platforms like Smartsheet Platform, Amplitude, ThoughtSpot, Gainsight & Salesforce.
• Actively mentor analytics engineers and provide mentorship across disciplines, leading forums such as guilds, design reviews, and engineering forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 12+ years of experience in advanced data modeling, data architecture, and data warehousing. This role is expected to do development activities in combination of the data architecture scope, so hands-on experience is necessary.
• Deep expertise and 10+ years of hands-on experience with Data Vault (DV 2.0) and Dimensional Modeling.
• Expert-level knowledge of modern data stacks, including Snowflake, dbt, and data orchestration tools (e.g., Airflow, GitLab pipelines).
• Proven experience architecting and building analytical products for SaaS companies in GTM, Marketing, Customer Experience, and Financial data domains.
• Comprehensive understanding of data topologies (e.g., data mesh, hub/spoke) and data modeling methodologies (e.g., Data Vault, Kimball, Inmon).
• Demonstrated ability to drive clarity in ambiguous environments where the strategy may not be defined.
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Exceptional communication skills, with experience educating and advising senior leadership and mentoring teams across disciplines.
• Strong knowledge of data governance principles, CI/CD practices (e.g., GitLab), self-serve analytics tools (e.g., Amplitude, ThoughtSpot), and cloud architectures (AWS preferred).

The Role:

We are looking for a Staff Product Manager for the Merchant Experience Platform within our Omnichannel Fulfillment division. As the PM for this critical platform, you will define and deliver a world-class, seamless merchant experience across the entire journey, from self-serve onboarding and platform configurations to transparent billing and effortless payments. Your mission is to build a fast, intuitive, and reliable platform that serves as the single source of truth for our merchants and powers their success across our logistics ecosystem.

Key Responsibilities:

• Platform Vision & Strategy: Define the multi-year roadmap for the Merchant Experience Platform, encompassing onboarding, integrations, configuration, billing, and payments.
• End-to-End Merchant Journey: Own the experience flow from a merchant's first interaction, through system configuration and data setup, to their ongoing financial transactions and reporting.
• Merchant System Integration Strategy: Drive the strategy for seamlessly integrating with external merchant technologies, including ERP systems (like NetSuite) and e-commerce platforms, ensuring robust data exchange and workflow integrity.
• Billing & Payments Automation: Drive the strategy and execution for automated payment solutions, revenue recognition, and reliable financial reporting.
• Cross-Functional Leadership: Partner with Engineering, Finance, Operations, and Sales to ensure a friction-less merchant journey and accurate financial outcomes.
• Product Leadership & Mentorship: Act as a subject matter expert who coaches and mentors Senior and IC PMs on complex systems thinking, financial modeling, and platform architecture design.

Minimum Qualifications:

• Experience: 8+ years in Product Management, preferably within Logistics Tech, SaaS Integrations, Fintech.
• Technical Proficiency: Deep understanding of APIs, ERP integrations, and financial reconciliation workflows.
• Systems Thinking: You can map out how a physical action in a warehouse triggers reconciliation with a merchant system or triggers a financial event for billing.
• Analytical Rigor: Proven ability to conduct deep quantitative analysis, create complex data models, and use data to diagnose root causes and quantify business impact.
• Problem-Solving Grit: Logistics is messy. You need the ability to find elegant, automated solutions for edge cases and "broken" data.
• Communication: The ability to explain complex financial logic to a software engineer and high-level business impact to a CFO.
• Demonstrated ability to drive results in complex, regulated industries (Logistics, Fintech, Healthcare, etc.).
• Experience owning a product roadmap and delivering measurable business impact (e.g., revenue growth, efficiency gains).

Why This Challenge Matters:

The Merchant Experience Platform is the gateway to Flexport's logistics ecosystem. By owning the entire journey—from an effortless onboarding and configuration process to reliable, transparent billing and payments—you are directly impacting Flexport’s bottom line, driving merchant adoption, and removing the friction that holds global trade back.

Bonus Points if you have:

• Experience with NetSuite, Stripe, or high-volume transactional billing systems.

Why Flexport:

At Flexport, we’re building the future of global trade. Our product team is at the heart of this transformation, driving solutions that have a direct impact on our customers and the logistics industry. We foster a culture of innovation, inclusivity, and continuous learning, giving you the opportunity to work on meaningful, impactful projects while supporting your professional growth.

What's in it for you?

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment
• Competitive salary and equity options
• Daily catered lunches, breakfast, snacks and soft drinks available in our office on daily basis
• Comprehensive health and wellness benefits.
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Collaborative, inclusive, and diverse work culture.

Flexport is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or veteran status.

#LI-hybrid

About the team & role:

• The Information Security organisation advances the overall state of security at Rubrik through critical initiatives and the coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.

• We are seeking a Senior Security Engineer to bridge the gap between traditional Security Operations and modern Data Engineering. You will be responsible for the day-to-day health of our SIEM ecosystem while simultaneously contributing in transition toward a Security Data Lake architecture. This is a hands-on, high-impact role that leverages Programming, Cloud Warehouses and AI to defend a global multi-cloud footprint.

What you’ll do?

• SIEM Administration: Handle day-to-day operations of market-leading SIEM platforms (e.g., Splunk, Sentinel, or Chronicle). This includes log ingestion from a variety of sources like Network devices, 3rd party vendor APIs,  Cloud Services, Webhooks etc..  parsing/normalisation to a common schema, health monitoring checks,  User access management and Cost Monitoring.
• Security Data Lake Operationalisation: Develop and maintain the infrastructure/Platform that moves security telemetry from raw sources into Snowflake, BigQuery, or Databricks. Tune/Optimise Ingestion at Scale for cost efficiency and  Enable SOC team and Threat Detection team to leverage the Security Data lake for their Search and Analytics workloads. 
• AI & Agentic Automation: Proactively integrate AI tools and LLMs into daily workflows; develop AI agents to automate Tier 1/2 SecOps tasks like Incident Investigation and Response.
• Cross-Team Collaboration: Partner with global teams across time zones and manage Stakeholder communication.

Experience you'll need:

• Experience: 5+ years in Security Ops and Engineering, focusing on  Security Data management and Automation.
• SIEM and SOAR Mastery: Hands-on experience with at least one market-leading SIEM (Splunk, Microsoft Sentinel, Elastic) and SOAR platform (Palo Alto XSOAR, Splunk SOAR).
• Cloud Data Warehousing: Practical experience administering or developing within Snowflake, BigQuery, and/or Databricks. Prior experience in building/maintaining data platforms that can manage  50-100 TB/day data is a big plus.
• Programming: Strong proficiency in Python and Shell scripting.
• Data Engineering Knowledge: Understanding of Cloud warehouse and  Lakehouse concepts, Open Table formats and Search engines for a composable Security Data stack.
• Cloud Infrastructure: Solid experience in one major cloud (AWS/GCP/Azure); Multi-cloud familiarity is a major plus.
• AI Fluency: Demonstrated experience or strong inclination towards utilising various AI tools to significantly enhance effectiveness (force multiplier) and solve complex business problems, particularly within SecOps and GRC domains.
• Nice to have
  • Exposure to Cloud Logging frameworks and best practices for Security Telemetry ingestion.
  • Familiarity with container orchestration (Kubernetes/EKS/GKE).
  • Interest/experience in building AI-driven security workflows.
  • Knowledge of modern CI/CD patterns and DevOps security integrations.
  • Experience with Terraform or other IaC tools.

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

The Data Engineer will work closely with clients and the eCS Biometrics team to optimize the elluminate® platform for end-to-end solutions to aggregate, transform, access and report on clinical data throughout the life cycle of a clinical trial.  This includes study design in elluminate®, collaboration on specifications, and configuration of the various modules to including Data Central, Clinical Data Analytics and Trial Operational Analytics, Risk-Based Quality Management (RBQM), Statistical Computing Environment (SCE) and Operational Insights. The Data Engineer will be involved in standard ETL activities as well as programming custom listings, visualizations and analytics tools using Mapper and Qlik. The position involves a high level of quality control as well as adherence to standard operation procedures and work instructions and a constant drive towards automation and process improvement.

KEY TASKS & RESPONSIBILITIES

• Design, develop, test, and deploy highly efficient code for supporting SDTM, Custom reports and Visualizations using tools like MS SQL, elluminate® Mapper and Qlik
• Configure ETL processes to support of the aggregation and standardization of clinical data from various sources including EDC systems, SAS and central laboratory vendors
• Work with Analytics developers, other team members and clients to review the business requirements and translate them into database objects and visualizations
• Manage multiple timelines and deliverables (for single or multiple clients) and managing client communications as assigned
• Provide diagnostic support and fix defects as needed
• Ensure compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures
• Other duties as assigned

CANDIDATE’S PROFILE

Education & Experience

• 3+ years of professional experience preferred
• Bachelor's degree or equivalent experience preferred
• Experience with database/warehouse architecture, design and development preferred
• Knowledge of various data platforms and warehouses including SQL Server, DB2, Teradata, AWS, Azure, Snowflake, etc.
• Understanding of Cloud / Hybrid data architecture concepts is a plus
• Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards
• Experience in Pharmaceutical/Biotechnology/Life Science industry is a plus

Professional Skills

• Critical thinking, problem solving and strong initiative
• Communication and task management skills while working with technical and non-technical teams (both internal to eCS and clients)
• Must be team oriented with strong collaboration, prioritization, and adaptability skills
• Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions
• Excited to learn new tools and product modules and adapt to changing technology and requirements
• Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred

Technical Skills

• Proficient in SQL, T-SQL, PL/SQL programing
• Experience in Microsoft Office Applications, specifically MS Project and MS Excel
• Familiarity with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle
• Familiarity with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related
• Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Senior Data Engineer

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• Deploy data collectors in Adverity to gather data from media, agency system, and other sources

• Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution

• Support the translation of user requirements and business needs into technical specifications
• Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
• Monitor automated jobs, troubleshooting data issues as-and-when they arise
• Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
• Serve as a technical and professional leader for junior staff
• Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
• Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
• Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.

A bit about yourself:

Required

• Bachelor degree in Science or Engineering
• 3+ years’ experience (professional or academic) in data engineering, preferably handling advertising media or marketing data
• Professional experience with SQL, preferably deployed via DBT
• Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data
• Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way
• Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood
• An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it
• Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability

Desirable

• Previous experience working with data and technology
• Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc.  
• An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors)
• Experience using or building reports with business intelligence software, ideally Microsoft PowerBI
• Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org)

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Product Management at InMobi: We offer an opportunity to have immediate impact with the company and our products. You shall be working at the cutting edge of technology connecting various businesses at InMobi centrally. The work that you shall do will be mission critical for InMobi and is in direct path for success of multiple of core product offerings in InMobi.

Our Product leaders at InMobi own the business strategy behind the product by building subject matter expertise, define its functional requirements aligned to various user personas through PRDs, and drive the launch of product features by owing the management of its development cycle with peer Engineering teams.  We design world-class products within one of the fastest growing companies in this space with a truly global footprint. 

Role: Senior Product Manager – Data & AI Platform for the Central Data Repository & AI Platform Team

As a Senior Product Manager – Data & AI, you will be responsible for driving the roadmap for InMobi’s next-generation data and AI infrastructure — unifying data across products, systems, and business functions while enabling the company to leverage artificial intelligence responsibly and effectively.

You will work across cross-functional teams — including Engineering, Data Science, Analytics, and Business Operations — to deliver scalable platform capabilities that power automation, predictive insights, and operational excellence.

What You’ll Do

1. Product Strategy & Vision

• Define and evolve the product vision and roadmap for InMobi’s enterprise Data & AI Platform — including CDR, Unified Data Warehouse (UDW), and AI/ML enablement capabilities.
• Align platform goals with InMobi’s strategic business and data transformation objectives.
• Identify opportunities to integrate AI across business systems to improve process efficiency, accuracy, and decision intelligence.

2. Platform Ownership

• Own the product lifecycle for core data platform components — from data ingestion and transformation to data governance, modeling, and AI pipeline integration.
• Collaborate with engineering teams to design and deliver scalable, secure, and efficient data and AI systems leveraging technologies such as Databricks, Power BI, and cloud-native data platforms.
• Build foundational capabilities that enable AI experimentation, model deployment, and monitoring at scale.

3. Execution Excellence

• Translate complex business requirements into detailed PRDs, user journeys, and data product specifications.
• Partner closely with data engineering and AI teams to define sprint goals, manage backlogs, and ensure timely delivery.
• Be hands-on with platform interfaces and datasets to validate requirements and drive insights during BAU and transformation cycles.

4. Cross-Functional Collaboration

• Work closely with finance, sales, account management, and product stakeholders to design integrated data and AI solutions that serve cross-enterprise use cases.
• Drive alignment across global teams — product, engineering, data science, and business — ensuring all dependencies are managed effectively.
• Be the single Product POC for Engineering counterparts to define platform logic, edge cases, and implementation details.

5. AI & Analytics Integration

• Partner with AI scientists and ML engineers to prioritize and productize AI use cases that drive measurable business impact.
• Define frameworks for responsible AI adoption, ensuring transparency, explainability, and compliance across systems.
• Enable a self-serve analytics and AI ecosystem for users across InMobi.

What We Expect from You

• Experience: 9+ years overall with 7+ years in Product Management, building and scaling enterprise-level data and AI products.
• Domain Expertise: Strong understanding of data warehousing, data governance, analytics platforms, and AI/ML systems.
• Technical Acumen: Ability to work with large datasets, define data models, and collaborate with engineering teams on architecture and integrations.
• Analytical Mindset: Deep comfort with data-driven decision-making; familiarity with SQL, BI tools, and data pipelines.
• AI Product Fluency: Knowledge of ML lifecycle management, model training/deployment workflows, and AI platform integration.
• Leadership: Experience guiding junior PMs, leading cross-functional planning, and managing competing priorities with clarity.
• Collaboration: Strong stakeholder management skills, with the ability to drive consensus across global, multi-functional teams.
• Execution Bias: A self-starter who thrives in ambiguity, connects dots across domains, and delivers outcomes that move the needle.

Preferred Experience

• Experience in enterprise system transformation programs involving CRM, ERP, and monetization platforms.
• Familiarity with data privacy, security, and ethical AI frameworks.
• Prior experience in digital marketing, ad-tech, or data-driven B2B platforms.

Why Join InMobi

• Drive InMobi’s enterprise-wide data and AI transformation and shape the future of how intelligence powers our products and decisions.
• Collaborate with world-class teams across engineering, AI, and business to deliver high-impact solutions.
• Work in a culture that values ownership, innovation, and continuous learning.
• Be part of an organization consistently recognized as a Great Place to Work and one of the World’s Most Innovative Companies.

Industry

• Marketing & Advertising
• Data & AI Platforms
• Enterprise Software

Job Function

• Product Management – Data & AI Platform
• Enterprise Transformation & Systems Integration

Role Overview

As a Lead Data Analyst, you will provide strategic insights and translate complex data into narratives that drive our global Finance & Strategy decisions. You will collaborate across Finance & Strategy to build high-impact, data-driven models and analytics to enable rapid decision-making. While your primary focus is on strategic analysis, you will also design and govern an Analyst-Ready Data Layer that is the foundation for analytics across the team. By combining deep SaaS business context with technical data engineering, you ensure our insights are not only impactful but built on a scalable, audit-ready infrastructure.

Key Responsibilities

• Revenue Cycle & Predictive Modeling: Optimize the opp-to-cash journey by analyzing ARR-to-revenue conversion rates and renewal patterns, while building early-warning indicators to signal risks and opportunities in the long-term outlook.
• SaaS Unit Economics & Business Diagnostics: Lead advanced analytics on core business drivers, correlating hosting costs and service delivery against gross margins while modeling consumption-based indicators to identify proactive upsell and churn risks.
• Executive Storytelling: Partner with finance leadership to evolve and elevate the delivery of professional reporting packages for internal leadership and investment partners, ensuring monthly business reviews and board decks are supported by clear, intuitive narratives.
• Analyst-Ready Data Layer Architecture: Design and govern a dedicated business data layer by transforming raw data from systems like NetSuite, Salesforce, and Coupa into functional, high-performance schemas that eliminate manual data preparation for the global team.
• Technical Innovation & Partnership: Serve as the primary bridge to central Data Engineering to influence warehouse schema design while piloting AI-driven concepts to automate data anomaly detection and streamline the analytical pipeline.

The Profile

• Experienced Strategist: 8+ years of experience in data analytics, engineering, or database architecture, with a proven track record of supporting complex financial or business modelling.
• SaaS Industry Expertise: Deep understanding of high-growth SaaS environments and the specific data structures required to model subscription-based metrics like ARR, CAC, and LTV.
• Advanced Analytics & Visualization Toolkit: Expert proficiency with modern BI platforms (e.g., Tableau, Power BI, or Looker) to transform the Analyst-Ready Data Layer into interactive executive dashboards. Mastery of advanced Excel or Google Sheets for high-rigor financial modeling is essential.
• Technical Power User: Mastery of advanced SQL and deep experience navigating modern data warehouse environments to move data from raw sources into functional models.
• Bridge Builder: Exceptional at translating complex business needs from business leaders into technical execution and high-performance data schemas.

About the Job:

The Warehouse Integrations team at Launchdarkly builds the infrastructure that lets LaunchDarkly customers connect their enterprise data warehouses to unlock advanced capabilities like warehouse-native experimentation and real-time metrics.

As a Senior Backend Engineer, you'll be a key architect for scaling this platform and expanding our warehouse integrations footprint. You'll lead the design and implementation of core infrastructure - from integration connectors and data export pipelines to health checks and operational monitoring, while mentoring engineers and setting technical direction for the team.

This is a critical role in LaunchDarkly's strategy to meet customers where their data lives and enable data-driven feature experimentation at scale.

Responsibilities:

• Architect and design scalable warehouse integration infrastructure that enables LaunchDarkly to support multiple enterprise data warehouse platforms and add new integrations systematically.

• Build and own core backend services and APIs that power warehouse connectivity, including data export pipelines, health checks, authentication flows, and operational monitoring.

• Drive technical excellence by establishing design patterns, frameworks, and best practices for warehouse integrations that the team uses as they scale.

• Partner with cross-functional teams to define integration roadmaps, resolve technical blockers, and ensure warehouse-native features are delivered reliably.

• Lead technical design reviews and author tech specs for complex, cross-cutting integration work, and setting standards for implementation.

• Mentor and support backend engineers on the team through code reviews, design discussions, and regular guidance, fostering strong fundamentals and ownership mindset.

• Communicate effectively across technical and non-technical audiences, articulating complex system decisions, trade-offs, and progress to stakeholders, engineers, and peers.

• Improve reliability and operational maturity of warehouse integrations through observability, monitoring, load testing, and production incident response.

• Actively participate in on-call rotation to support production systems, diagnose issues in distributed environments, and implement lasting fixes.

Qualifications:

• 8+ years of professional backend software engineering experience, with a demonstrated track record of designing and shipping scalable, production-grade systems in complex domains

• Proven expertise in distributed systems design and implementation, including experience with topics such as consistency models, replication, consensus, and failure handling in large-scale environments

• Strong programming proficiency in Go, Java, Rust, or C++ with the ability to ramp up quickly on new technologies and languages

• Solid understanding of domain modeling and system design principles, particularly for building reusable abstractions, internal frameworks, and integration infrastructure

• Hands-on experience designing and building scalable APIs that support both internal tooling and customer-facing integrations

• Proficiency with observability best practices including metrics, structured logging, distributed tracing, and alerting, with experience diagnosing complex production issues in distributed systems

• Familiarity with modern data warehouse and analytics platforms, including understanding of data models, query optimization, and integration patterns is a bonus

• Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or equivalent) for managing cloud infrastructure at scale

• Strong commitment to software quality including automated testing (unit, integration, load tests), code reviews, and architectural decision documentation

• Excellent communication skills in technical discussions, design reviews, and cross-functional collaboration with product, data, and frontend teams

• Demonstrated ability to mentor and develop other engineers, fostering technical growth and establishing engineering standards

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. 

OVERVIEW
The Data Engineer, Sr - I will work closely with clients and provide high level technical consulting services, configuration of the elluminate® platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations, platform configuration, ETL and custom analytics development.
As a Data Engineer, Sr - I, you will serve as the primary technical lead, spearheading consulting efforts related to clinical systems software. You will also design and develop reporting programs as needed.
KEY TASKS & RESPONSIBILITIES

• Leading consulting efforts and providing high-level technical consulting services to clients, including configuring the elluminate® platform and overseeing specific projects such as trial configuration, quality control, and project management.
• Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik.
• Providing technical guidance, training, and support to team members and users on processes, technology, and products.
• Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned.
• Possessing high-level debugging skills for ETL or analytical issues by referring to the required source data.
• Demonstrating in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules.
• Delivering proactive technical support for all client-reported support tickets.
• Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform.
• Configuring, migrating, and supporting the elluminate® platform for assigned clients.
• Creating and maintaining all required specifications and quality control documents as per SOP and processes.
• Ensuring compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures.

CANDIDATE’S PROFILE
Education/Language:

• 5+ years of professional experience in a Services or Consulting role preferred
• Bachelor's or Master's degree in science, technical or business discipline or equivalent experience preferred
• 5+ years in database design and development experience preferred
• Understanding of Cloud / Hybrid data architecture concepts is a plus
• Prior experience in customer facing roles is a plus
• Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards
• Experience in Pharmaceutical/Biotechnology/Life Science industry is a plus
• Experience in Data Capturing tools (Rave, Veeva, InForm, IVRS)

Professional Skills & Experience:

• Have critical observation and communication skills to Identify any gaps in processes or product
• Ability to work with various technical and non-technical teams both internal to eCS and clients
• Must be team oriented with strong collaboration, prioritization, and adaptability skills
• Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions
• Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred
• Experience in regulatory computer systems validation a strong plus
• Demonstrating strong analytical and problem-solving skills to identify issues and develop creative solutions that drive results.
• Conveying information clearly and concisely to diverse audiences, facilitating understanding and collaboration.
• Working effectively in a team environment, contributing to group objectives, and supporting colleagues.
• Adapting to changing circumstances and accepting new challenges with a positive attitude.
• Understanding clinical trial data and applying CDISC, SDTM/AdAM standards.

Technical Skills & Experience:

• Proficient in SQL, T-SQL, PL/SQL programming or R Package or Python or SAS
• Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel
• Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle
• Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related
• Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical is a winner of the 2023 Top Workplaces USA national award! We have also received numerous Culture Excellence Awards celebrating our exceptional company vision, values, and employee experience. See all the details here: https://topworkplaces.com/company/eclinical-solutions/

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

OVERVIEW:

The Data Engineer, Pr will work closely with clients and provide high level technical consulting services, configuration of the elluminate platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer, Pr will be a technical escalation point for the team, design solutions and provide oversight and direction on technical development and implementation aspects to the team of existing data engineers on various software service delivery related activities.

KEY TASKS & RESPONSIBILITIES:

➢ Function as a technical lead to lead consulting efforts related to clinical systems software and design and develop any reporting programs as needed ➢ Provide programming support and quality control for system configuration, Data Extracts, Custom Reports and Visualizations.

 ➢ Manage/Mentor technical resources to deliver client services.

➢ Provide training services as needed to internal and external users working with training staff ➢ Ensure compliance with eClinical and industry quality standards, guidelines, and procedures.

➢ Work closely with Sales Teams on staffing and project delivery services.

➢ Define new/enhanced processes to support new and existing modules in elluminate.

➢ Other duties as assigned.

CANDIDATE’S PROFILE :

Education & Experience:

➢ 10+ years of professional experience, preferably in Services or senior consulting role preferred.

➢ Basic Science/Bachelor of Science or Master of Science degree in Computer Science and/or equivalent work experience preferred .

➢ 8+ years in database design and development experience Position: Data Engineer, Pr ➢ Prior experience of leading technical teams is a plus.

➢ Thorough experience in data warehouse architecture, design, and development.

➢ Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards .

Professional Skills:

➢ Provide technical leadership and guidance to the team and users .

➢ Ability to steward a solution to its objective resolving challenges, conflicts and priorities .

➢ Have critical observation and communication skills to Identify any gaps in processes or product.

 ➢ Ability to work with various technical and non-technical teams both internal to eCS and clients.

 ➢ Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred .

➢ Experience in regulatory computer systems validation a strong plus .

Technical Skills:

➢ Proficient in SQL, T-SQL, PL/SQL programming or R Package, or Python, or SAS.

➢ Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel .

➢ Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle.

➢ Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related .

➢ Experience with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related.

 ➢ Strong familiarity with EDC Systems: Rave, Trial Master, InForm, or Oracle Clinical preferred.

About the Role

As a Senior Data Engineer, you are a vital builder within our Finance "Engine Room". Your mission is to develop and maintain the technical infrastructure that is our Analyst-Ready Data Layer. You will execute on the strategic enablement layer, leveraging the enterprise data warehouse and ad-hoc solutions to facilitate fast-paced diagnostic, descriptive, and predictive analytics. Your work ensures that data is enriched, structured, and reliably delivered to reveal the underlying drivers of business performance for our global Finance & Strategy team.

Key Responsibilities

• Business Data Execution: Develop and maintain the dedicated business data layer, utilizing structured warehouse schemas and agile ad-hoc tables to eliminate manual data prep and ensure a ready-to-use foundation for analysis.
• Operationalizing Logic: Partner with the Data Engineering teams to migrate mature, ad-hoc financial logic into standardized, enterprise production pipelines.
• Upstream Quality Support: Collaborate with source-system owners to implement data-entry improvements and hierarchy audits, ensuring data hygiene and productivity at the point of creation.
• Advanced SQL Development: Utilize advanced SQL for complex data manipulation to build and optimize data structures that specifically support SaaS financial modeling, such as ARR waterfalls and OpEx leverage.
• Integrity & Traceability: Maintain rigorous data hygiene protocols and transformation-layer traceability to guarantee that financial outputs are valid, auditable, and board-ready.
• Finance AI & Innovation Support: Assist in the technical implementation of AI-driven concepts and LLM solutions to automate data anomaly detection and streamline the "Analyst-Ready" pipeline as our technology matures.

The Profile

• Experienced Data Engineer: 5–7+ years in data engineering or database development, with a strong background in building data layers for complex business or financial modeling.
• SaaS Industry Expertise: Proven track record in a high-growth SaaS environment, with a deep understanding of the data relationships required to model recurring revenue (ARR), customer lifecycles, and subscription-based metrics.
• Strategic Business Data Leader: Proficiency in Salesforce, NetSuite, and other finance and HR system data relationships to bridge the data architecture with SaaS business context to ensure data structures directly power F&S analytics and critical metrics. 
• Technical Power User: Proven advanced SQL knowledge and deep experience with modern data warehouse environments; you understand how to transform raw data into functional business models.

What You Will Do and Learn

As a Snowflake Architect/ Manager in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

• Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
• Collaborate with team members to design and implement technology that aligns with client business objectives
• Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
• Team management experience and ability to manage, mentor and develop talent of assigned junior resources
• Create actionable recommendations based on identified platform, structural and/or logic problems
• Communicate and demonstrate a clear understanding of client business needs, goals, and objectives
• Collaborate with other architects on solution designs and recommendations.

Qualifications:

• 8+ years’ experience developing industry leading business intelligence and analytic solutions
• Must have thorough knowledge of data warehouse concepts and dimensional modelling
• Must have experience in writing advanced SQL
• Must have at least 5+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.
• Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.
• Hands-on experience with Snowflake would carry higher weightage
• Snowflake SnowPro Core certification would carry higher weightage
• Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage
• Hands-on experience on Azure would carry higher weightage
• Must have experience in setting up DBT projects
• Must have experience in understanding / creating / modifying & optimizing YML files within DBT
• Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations
• Must have experience with various materialization techniques within DBT
• Must have experience in writing & executing DBT Test cases
• Must have experience in setting up DBT environments
• Must have experience in setting up DBT Jobs
• Must have experience with writing DBT Jinja and Macros
• Must have experience in creating DBT Snapshots
• Must have experience in creating & managing incremental models using DBT
• Must have experience with DBT Docs
• Should have a good understanding of DBT Seeds
• Must have experience with DBT Deployment
• Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features
• Proficiency in version control systems and CI/CD
• Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.
• Must have experience in PR approval workflow
• Participate in code reviews and best practices for SQL and DBT development
• Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage
• 2+ years of Business Data Analyst experience
• 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.
• Understanding and experience on ETL/ELT is an added advantage
• 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
• 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)
• 2+ years of experience creating functional test cases and supporting user acceptance testing
• 2+ years of experience in Agile/Kanban/DevOps Delivery
• Outstanding analytical, communication, and interpersonal skillsAbility to manage projects and teams against planned work
• Responsible for managing the day-to-day client relationship on projects

Who are we and What do we do? 

InMobi is the largest independent mobile advertising network in the world. Building a new company in 2007 was no ordinary task. As the recession hit, the iPhone was born and launched a revolution. Mobile advertising wasn’t yet a thing, other than SMS, and venture capital funding was hard to come by for four guys in India.  Yet with passion, foresight, and conviction – InMobi charted its own course, helping to transform the way consumers engage with their phones and create today's booming app economy wherein consumers now spend 4.2 hours per day.  After fourteen years of innovation, our end-to-end advertising software platform, connected content and commerce experiences have formed a powerful engine for growth that activates audiences, drives real connections, and diversifies revenue for companies around the world. Our global organization of InMobians are excited to continue discovering and developing impactful technologies that will continue to transform people, businesses, and society. With offices on five continents, InMobi provides advertisers, publishers and developers with a uniquely global solution for advertising. The network is growing and now delivers the unprecedented ability to reach 1.64 billion devices, in over 165 countries, through more than 200 billion mobile ad impressions monthly. The company has over 17 offices including Bangalore (HQ), London, New York, Paris, San Francisco, Shanghai, Beijing, Seoul, Singapore, Tokyo and Dubai. 
For more information, please visit http://www.inmobi.com 

 
What’s the InMobi family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion. 

 
What do we promise?

We offer an opportunity to have an immediate impact on the company and our business. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

About the Role

The Global Business Analytics & Insights team is evolving from a traditional reporting function into an AI-powered, agentic intelligence layer that drives autonomous, real-time decision-making across the organisation.

As a Lead Business Intelligence Analyst, you will play a critical role in this transformation — moving beyond dashboards to build intelligent, self-serve, and eventually self-driving analytics systems.

You will own the design and evolution of next-generation BI systems that:

• Not only describe what happened, but explain why it happened
• Recommend what to do next
• And ultimately enable automated, agent-driven decision workflows

This role sits at the intersection of analytics, data products, and AI, and requires someone who can combine business intuition, technical depth, and product thinking to reimagine how data is consumed and decisions are made across GTM teams.

You will work closely with Strategy & Operations, Product, Data Engineering, and GTM leadership to build an intelligence layer that powers the full customer journey — from Marketing to Revenue realization.

What You’ll Be Doing?

Build the Intelligence Layer (Beyond Dashboards)

• Design and own scalable BI frameworks that evolve from dashboards → insights → recommendations → automated actions
• Develop semantic layers and metric definitions that standardize decision-making across teams
• Move the org from “report consumption” to decision intelligence systems

Drive Agentic BI Vision

• Help define and execute the roadmap toward agentic BI (AI agents answering business questions autonomously)
• Build use cases where:
  • Business questions are translated into queries automatically
  • Insights are generated proactively (not reactively)
  • Outputs are delivered via conversational interfaces (Teams, email, etc.)
• Partner in building AI-powered analytics agents on top of Databricks / warehouse layers

Advanced Analytics & Decision Systems

• Build models to:
  • Forecast revenue and pipeline health
  • Detect anomalies and trigger alerts
  • Identify drivers of growth and inefficiencies
• Develop leading indicator frameworks and early warning systems for GTM performance

Insight Generation & Storytelling

• Go beyond reporting to:
  • Identify root causes of business trends
  • Translate data into clear, actionable recommendations
• Support leadership with narrative-driven insights, not just metrics

Data Product & Self-Serve Enablement

• Build self-serve analytics experiences tailored to different personas (Sales, Strategy, Leadership)
• Reduce dependency on analysts by enabling intuitive, trustworthy data access
• Drive adoption of “review via dashboards” → “review via intelligent systems”

Data Integrity & System Thinking

• Work with Data Products to ensure data quality across systems (Salesforce, Databricks, BI tools)
• Investigate discrepancies and build robust data governance mechanisms
• Work with data engineering to ensure clean, reliable, and scalable pipelines

Cross-functional Leadership

• Partner with:
  • GTM teams (Marketing, Sales)
  • GTM enablement teams (Strategy, Revenue Operations, Finance)
  • Product & Marketplace teams
• Influence decision-making at multiple levels through data-backed narratives

Automation & Efficiency

Continuously identify opportunities to:

• Automate reporting workflows
• Eliminate redundant analysis
• Build reusable analytics assets

Who You Are

Analytical & Structured Thinker

You don’t just analyze data — you frame problems, test hypotheses, and drive decisions.

Builder Mindset (Not Just Consumer of BI)

You’ve built systems — dashboards, data models, or analytics products — and want to reimagine BI as a product, not a service.

AI-Forward Thinker

You are excited about using:

• LLMs
• AI agents
• Automation frameworks

to fundamentally change how analytics is delivered.

Business-Oriented

You understand that the goal is not dashboards — it’s revenue impact, efficiency, and growth.

Comfortable with Ambiguity

You thrive in 0→1 environments and can bring structure to undefined problems.

What We’re Looking For

Core Skills

• Strong SQL and experience working with large-scale datasets (Databricks, BigQuery, Snowflake, etc.)
• Experience with BI tools (Power BI, Tableau, Looker)
• Strong analytical thinking: root cause analysis, hypothesis testing, problem structuring
• Experience building end-to-end analytics solutions

Preferred Experience

• 4–8 years in analytics / BI / RevOps / strategy roles
• Experience working with GTM / revenue teams
• Exposure to data modeling and metric design
• Experience with Python / statistical modeling / forecasting

Strong Plus

• Experience or interest in:
  • AI/ML applications in analytics
  • Conversational BI / NLQ systems
  • Building internal data products
• Prior AdTech / Marketplace experience

What Success Looks Like in This Role

• The organization moves from: Static dashboards → dynamic, insight-driven systems
• Stakeholders shift from: Asking analysts → self-serve + AI-assisted decision making
• BI evolves into: A central intelligence layer powering GTM strategy

Why This Role is Unique

This is not a traditional BI role.

You will be helping build:

• One of the first agentic BI ecosystems in AdTech
• A system that connects data → intelligence → action
• A foundation for AI-driven decision-making across the company

Why Join Us?

We value autonomy, collaboration, technical innovation, and results-oriented thinking. InMobi’s culture is all about rewarding excellence so there are fantastic opportunities for the right candidates.

About Easyship:

Easyship is one of the world’s leading multi-carrier shipping software, built to make global eCommerce borderless. Since 2014, we’ve been on a mission to democratize logistics by removing the "black box" of international shipping costs and complexities. Trusted by over 100,000 brands, our platform provides a single "mission control" for global trade, offering access to 550+ courier services across 200+ destinations.

We are an award-winning, global team (Forbes 30 Under 30, TechInAsia’s Best Startup) with offices in London, New York, Hong Kong, and beyond. We’re growing fast, we value transparency, and we genuinely enjoy building the infrastructure that powers modern commerce. If you're ready to solve complex problems at scale, we’d love to have you join us.

Who We’re Looking For:

Easyship is a shipping technology platform that connects sellers and marketplaces to couriers. Beyond that, we also build and execute customized end-to-end shipping solutions for clients worldwide. These Logistics solutions can combine a number of partners and services, from global freight forwarding services to last-mile delivery.
We’re looking for an experienced project manager with good knowledge of ecommerce shipping, warehousing & fulfilment to oversee the delivery of these projects for our clients. Own part of the Easyship product by defining solutions in line with the product vision and strategy, coordinating with the design and engineering teams, in order to constantly create value for our users.

What you additionally need to know:

This is a full-time, onsite role based in our Bengaluru (MG Road) office. The role follows UK collaboration hours (11:00AM–8:00PM IST) to support seamless cross-regional execution.

What would be you be responsible for:

• Contributing to defining and shaping the product roadmap for Easyship’s warehouse software, managing priorities from discovery to release and post-release.
• Supporting roadmaps that maximize business opportunities and align with Easyship's strategic goals.
• Leveraging ROI assessment methodologies to prioritize your roadmap.
• Managing delivery of features from idea to release, and measuring their success.
• Working collaboratively with global teams in various functional areas such as design, data analytics, engineering, logistics, warehouse operations and support to deliver quality products.
• Gaining a deep understanding of our warehouse operations, their needs, and improve efficiency ultimately supporting profitability outcomes.
• Staying informed about market dynamics and competitor activities to help Easyship maintain a competitive edge.

You Might Be a Good Fit If…

• You have 4+ years of Product Management experience, preferably in a supply chain/logistics heavy environment.
• You have understanding and experience with warehouse operations and shipping logistics.
• You have experience working in a metrics-driven environment.
• You have demonstrated ability to identify and prioritize between different opportunities, with a rationale for these decisions.
• A “Data-First” approach and strong analytical skills.
• You are skilled in influencing and collaborating with distributed global teams.
• You have excellent organizational, verbal, and written communication skills.
• You possess resourcefulness, resilience, self-motivation, and ability to thrive in an entrepreneurial, team-based environment with high expectations.

If you’re excited about this role but don’t meet every requirement, we’d still love to hear from you.

What we bring to the table as an employer:

• Generous remuneration and stock units
• Comprehensive health coverage 
• We reimburse gym and wellness expenses so you can invest in your health
• Zomato digital meal credits and pantry full of wholesome snacks to keep you fuelled through the workday
• The freedom to ‘Work from Anywhere’ for 4 weeks in a year
• Generous vacation policy, plus duvet days and mental health days to truly recharge

How we value inclusion in our recruitment practices:

Easyship is an equal opportunity employer. We make all employment decisions—recruiting, hiring, pay, benefits, training, promotion, leave, and separation—based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.

How did the story of Easyship start? Find out below.

Staff Software Engineer (Data Platform)
Join our dynamic team at the forefront of cutting-edge technology as we seek a seasoned Staff Data Engineer. Embark on a journey where your deep-rooted expertise in distributed systems, data architectures, and large-scale processing becomes the cornerstone of building high-performance data platforms. This pivotal role demands proficiency in designing and scaling compute and I/O-intensive data systems, ensuring reliability, efficiency, and cost optimization across the data lifecycle.

Responsibilities:
● Design and build scalable data platform components for batch and real-time data processing.
● Architect, develop, and operationalize large-scale data systems across ingestion, transformation, and serving layers.
● Build and manage robust data pipelines ensuring high reliability, scalability, and cost efficiency.
● Develop reusable frameworks and tooling to accelerate productivity for data engineers and data scientists.
● Leverage expertise in Python, Airflow, SQL, and cloud platforms to build production-grade data solutions.
● Optimize query performance and data models using strong understanding of columnar OLAP systems such as ClickHouse, Doris, and StarRocks.
● Implement streaming and near real-time data processing systems.
● Translate complex business requirements into scalable and efficient data platform solutions.
● Work collaboratively with cross-functional teams and provide technical leadership and mentorship.
● Drive architectural decisions by evaluating tradeoffs and selecting the right tools for the problem.

Requirements:
● Bachelor's Degree in Computer Science, Information Technology, or a similar discipline.
● 8+ years of professional experience in data engineering, backend systems, or distributed systems.
● Proven experience building scalable data platforms and large-scale data systems.
● Strong experience with ETL pipelines, data integration, and workflow orchestration systems such as Airflow or Temporal.
● Hands-on experience in Python and SQL with strong understanding of data warehouse concepts.
● Experience working with distributed OLTP/OLAP databases such as ClickHouse, PostgreSQL, Cassandra, or Elasticsearch.
● Knowledge of messaging and streaming systems such as Kafka.
● Experience with cloud platforms (AWS/GCP) and big data tools such as Spark.
● Strong understanding of columnar storage systems and query optimization techniques.
● Solid understanding of distributed systems fundamentals and associated tradeoffs.
● Experience working with containers and orchestration tools such as Docker and Kubernetes.
● Strong Linux fundamentals and system-level debugging skills.
● Familiarity with modern data architectures such as Lakehouse (Iceberg, Hudi, Delta) is a plus.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• Deploy data collectors in Adverity to gather data from media, agency system, and other sources

• Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution

• Support the translation of user requirements and business needs into technical specifications
• Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
• Monitor automated jobs, troubleshooting data issues as-and-when they arise
• Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
• Serve as a technical and professional leader for junior staff
• Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
• Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
• Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.

A bit about yourself:

Key Responsibilities:

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
• Implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.

Senior-Level Expectations:

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.

Required Skills

• 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
• Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

#LI-GOC

JOB DESCRIPTION

Job Title: Director of Revenue Operations                        Date:  Feb 09, 2026

Job Status:                 Fulltime

Department Name:   Revenue Operations

Supervisor Title:       Sr. Director, Revenue Operations

POSITION SUMMARY:

The Director of Revenue Operations (India) will play a critical role in scaling our GTM operations globally. This leader will oversee the Revenue Operations teams in India, partnering closely with Sales, Finance, Customer Success, and Supply Chain to ensure operational excellence across the revenue lifecycle. Reporting to the Sr. Director of Revenue Operations (US), the Director will be a core member of the global RevOps team, helping to drive consistent execution, accurate data-driven insights, and strong cross-functional alignment.

This role requires a proven leader with deep experience in B2B enterprise GTM motions, business process design, and global account management, exceptional analytical skills, and the ability to manage and scale teams in a fast-paced, high-growth environment.

ESSENTIAL FUNCTIONS:

To perform this job successfully, an individual must be able to perform each essential function satisfactorily.

Revenue Operations

• Lead, build and manage India-based Revenue Operations teams serving global stakeholders, driving a culture of accountability, collaboration, and continuous improvement.
• Partner with global RevOps leadership to execute against revenue strategy and annual GTM planning.
• Own timely execution of core RevOps processes, including forecasting, pipeline management, territory/account alignment, and quota deployment in assigned regions (EU, India, APAC)

Data & Insights

• Deliver actionable analytics and reporting for Sales, Customer Success, and Finance, including pipeline coverage, forecasting accuracy, and global account performance.
• Drive adoption of standardized data definitions, KPIs, and dashboards across global teams.

GTM Program & Process Management

• Support execution of GTM programs such as territory/account segmentation, whitespace analysis, and global account management frameworks.
• Collaborate with Sales and Customer Success leadership to optimize processes across lead-to-opportunity, opportunity-to-order, and renewal motions.
• Partner with Supply Chain to ensure alignment between demand signals, forecast accuracy, and fulfillment readiness.

Cross-Functional Partnership

• Act as the India RevOps leader, building strong partnerships with Sales, Finance, Customer Success, and Supply Chain leaders across geographies.
• Ensure operational alignment and cadence across forecasting, business reviews, and account planning.
• Provide regional leadership while ensuring global consistency of RevOps processes and metrics.

People Leadership & Development

• Manage, mentor, and grow a team of high-performing analysts and operations managers in India.
• Foster a collaborative culture that aligns with global RevOps values and promotes career development.
• Serve as a bridge between global strategy and India execution, ensuring local teams are aligned and empowered.

QUALIFICATIONS:

Ability to (Competencies):

• Integrity:  Establish and maintain honest, effective relationships with all team members under GTM functions. Develop a reputation for being dependable, analytical and objective. and trustworthy. Adapt to change and shift gears comfortably.
• Innovation:  Develop new ideas and suggest new approach to solve problems. Have self-knowledge and confidence to communicate, listen and persuade colleagues in an effort to improve GTM efficiency and accelerate revenue growth.
• Initiative:  Work independently, work under pressure and meet deadlines. Prepare clear and concise reports without the need for constant management. Combine analysis, experience and judgment to make good decision in a timely manner. Tenacity to make important decisions with limited information and tight deadlines while learning to be flexible in other situations.
• Intelligence: Utilize relevant experience and resources to be very productive and efficient in planning and executing work. Orchestrate multiple activities at once to accomplish a goal. Seek input and advice from colleagues in order to receive more successful results pertaining to reports and projects. Focus on the achievement of goals that produce results. Ability to recognize structural issues within organizations, including functional interdependencies and cross-silo redundancies.
• Interaction: Build morale and motivate the team with energy, encouragement and enthusiasm. Recognize solutions for difficult or conflict situations—seeking feedback on how to resolve issues. Distinguish the need to change the personal and interpersonal behavior of colleagues in an efficient matter. Eagerness to be part of a team-unit and cooperate in the accomplishment of departmental goals and objectives.

Education and Professional Qualifications

Required

• Bachelor’s degree in Business, Finance, Economics, Engineering, or related field.
• 15+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy in enterprise SaaS or hardware-enabled SaaS companies.
• 5+ years of team management experience, with a proven track record of building and leading operations/data teams.
• Deep knowledge of B2B enterprise GTM motions, including territory/account segmentation, pipeline management, forecasting, and renewals.
• Strong experience working with global account structures and enterprise sales processes.
• Demonstrated ability to partner cross-functionally with Sales, Finance, Customer Success, and Supply Chain in a global organization.
• Excellent communication and stakeholder management skills, with the ability to influence across regions and levels.
• Demonstrated experience with Salesforce CRM and evidence of designing and improving GTM processes.

Preferred

• MBA or advanced degree in a quantitative or business discipline.
• Experience in a global enterprise SaaS company at scale ($100M+ ARR) or business unit of a multi-national
• Experience in establishing GTM data analytics and BI-based dashboards using data warehouse (e.g. Snowflake)
• Prior experience working in a matrixed, cross-regional environment.
• Exposure to Quote-to-Cash, order management, S&OP process, and/or supply chain alignment processes.

EXPERIENCE/TRAINING

Experience:

Language:

English

What You Will Do:

• Design, build, and operate highly performant and scalable batch and stream data processing infrastructure and solutions to support day to day ML operations including training, serving, evaluation and experimental systems.
• Design and develop Moveworks’ foundational data models, data warehouse, real-time and offline processing pipelines using AWS EMR Spark, Apache Kafka, AWS Athena, Snowflake, Airflow, Apache HUDI, etc.
• Closely work with machine learning teams and data science teams to understand their data needs, influence data team’s roadmap, and lead as well as execute on various projects. 
• Build a data governance platform for secure and compliant data management, including services for data cataloging, lineage, audit, deletion and masking.
• Build and operate Orchestration platform that includes Temporal and Airflow, enabling other teams to develop features and workflows.
• Build out platform and data services/APIs to make data available to various different stakeholders and for customer facing data products

What you bring to the table:

• 5+ years of experience as senior/software engineer
• Experience with Python or Golang or Java or C++
• Experience with cloud infrastructure like AWS/GCP/Azure
• Experience with relational or non-relational databases such as Postgres, AWS DataLake/S3 or DynamoDB or Snowflake
• BS or higher in Computer Science or a related field.

At Imply, our mission is to empower people and organizations to achieve more with their data. We believe that better insights lead to better decisions, and that the right technology can remove barriers, spark innovation and create lasting impact. In addition to our successful database business, we’re building the industry’s first observability warehouse, Imply Lumi. Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing observability tools with zero disruption.

In this role, you will help redefine what is possible with observability and security data. As part of the Engineering Team you will play an important role in bringing Imply Lumi to life. Lumi delivers lightning fast queries, significant cost savings and seamless integration with leading observability technologies while giving customers the freedom to innovate without vendor lock-in. You will be a part of the team innovating and building this first-in-class technology that allows our customers to unlock new levels of speed, scale and value from their data.

Backed by leading investors including a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory, transforming how organizations manage and gain insights from their observability and security data. Our customers, including Pepsi, Reddit, Roblox, Salesforce, and others, rely on our technology to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of innovators and problem-solvers who are reshaping the future of data!

The Role

We are looking for a strong engineer to join our ecosystem team. This team works on ingestion and query execution stack over the observability data layer. In this role, you will be expanding the query capabilities with a very high focus on query performance and reliability. We are looking for engineers who have a growth mindset, performance nerd and enjoy working on systems. 

Responsibilities

• Build scalable and performant Ingestion plugins to get the data into Lumi.
• Build new functions and expressions to query the data from Lumi
• Work on making the query engine highly performant. 
• Support the team through code and design reviews
• Be on-call for any escalations pertaining to ecosystem team

Requirements

• Working knowledge of distributed systems
• At least 3 years of experience working as a backend developer 
• Experience with one or more of the programming languages such as Java, Go, C, C++, etc. 
• Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience)

Bonus Points 

• Past experience working on internals of a database

What We Offer

• Provident Fund - Employer will contribute Equivalent to your contribution to the Provident Fund
• Private Medical Insurance
• Paid Time Off
• Phone/Internet Allowance
• Home Office Equipment Reimbursement

Individual compensation will be determined based on the candidate's experience and qualifications aligned with Imply’s internal levelings guidelines and benchmarks. The below range encompasses roles with on target earnings. This role is also eligible to participate in Imply’s equity plan subject to the terms of the applicable plans and policies.

Don’t meet every single requirement? Studies have shown that certain minority groups are less likely to apply to jobs unless they meet every qualification. At Imply, we are dedicated to building a diverse, inclusive and authentic workplace. 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 for other roles in the future. 

Imply is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Please note, applications and candidate submissions are subject to our privacy policy and, for California residents, the CCPA terms available at https://imply.io/privacy.

—

Attention: Imply Applicants

Due to reports of phishing, we’re requesting that all Imply applicants apply through our official Careers page at imply.io/careers. All official communication from Imply will come from email addresses ending with @imply.io.

#LI-Remote

What You Will Do and Learn

As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

Qualifications:

· 2-4 years’ experience developing industry leading business intelligence and analytic solutions

· Must have thorough knowledge of data warehouse concepts and dimensional modelling

· Must have experience in writing advanced SQL

· Must have at least 2+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.

· Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.

· Hands-on experience with Snowflake would carry higher weightage

· Snowflake SnowPro Core certification would carry higher weightage

· Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage

· Hands-on experience on Azure would carry higher weightage

· Must have experience in setting up DBT projects

· Must have experience in understanding / creating / modifying & optimizing YML files within DBT

· Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations

· Must have experience with various materialization techniques within DBT

· Must have experience in writing & executing DBT Test cases

· Must have experience in setting up DBT environments

· Must have experience in setting up DBT Jobs

· Must have experience with writing DBT Jinja and Macros

· Must have experience in creating DBT Snapshots

· Must have experience in creating & managing incremental models using DBT

· Must have experience with DBT Docs

· Should have a good understanding of DBT Seeds

· Must have experience with DBT Deployment

· Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features

· Proficiency in version control systems and CI/CD

· Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.

· Must have experience in PR approval workflow

· Participate in code reviews and best practices for SQL and DBT development

· Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage

· 2+ years of Business Data Analyst experience

· 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.

· Understanding and experience on ETL/ELT is an added advantage

· 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)

· 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)

· 2+ years of experience creating functional test cases and supporting user acceptance testing

· 2+ years of experience in Agile/Kanban/DevOps Delivery

· Outstanding analytical, communication, and interpersonal skills

· Ability to manage projects and teams against planned work

· Responsible for managing the day-to-day client relationship on projects

· Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance

· Collaborate with team members to design and implement technology that aligns with client business objectives

· Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients

· Team management experience and ability to manage, mentor and develop talent of assigned junior resources

· Create actionable recommendations based on identified platform, structural and/or logic problems

· Communicate and demonstrate a clear understanding of client business needs, goals, and objectives

· Collaborate with other architects on solution designs and recommendations.