Data Platform Engineer

Location: Bengaluru or Pune preferred, hybrid work modelWe are on the cusp of a major transformation in our data capabilities, and we are looking for a hands-on Data Platform Engineer to help lead the way. Working alongside a Staff Data Architect and Engineer, you will play a key role in designing and setting up the next generation of our lakehouse and analytics platform — a foundation that will directly drive the next phase of our company's growth and innovation. This is a unique opportunity to build an entire modern data stack from the ground up, combining cutting-edge open-source tools and cloud-native infrastructure.

Key Responsibilities:Hands-on Architecture and Development: Define, design, prototype, and deliver a robust lakehouse and analytics platform leveraging best-in-class technologies. Build the Core Platform: Collaborate with the Staff Data Architect to set up core infrastructure involving ingestion (ETL/ELT), warehouse, transformation, orchestration, and BI/analytics layers. Leverage Modern Data Stack: Work across an environment involving GCP-based compute instances and containers (Airbyte, ClickHouse, dbt, metriql, Prefect, Metabase, frontend) — bringing cutting-edge engineering principles to life.

Optimize for Scale and Security: Implement warehouse best practices, optimize performance for large-scale analytics, and enforce role- and attribute-based access controls. Data Modeling Excellence: Design flexible and scalable models to support real-time analytics, complex business queries, and long-term historical analysis. Innovation and Automation: Drive automation wherever possible in data ingestion, validation, transformation, and reporting processes.

Cross-functional Collaboration: Work closely with Product, Engineering, and Leadership teams to ensure alignment with broader company objectives and business strategies. Mentor and Uplift: Provide technical mentorship to junior engineers and set high standards for operational excellence across the data organization. Drive Success Metrics: Align milestone progress with leadership goals around platform adoption, scalability, reliability, and impact on business KPIs.

What We Look For:5+ years of experience designing, building, and scaling modern data platforms.

Proven hands-on expertise with ETL/ELT pipelines, cloud-based warehouses (SQL, NoSQL, MPP, OLAP/OLTP), and advanced database optimization. Strong SQL and Python skills for data engineering and automation. Familiarity with setting up containerized data services (Docker/Kubernetes environments).

Deep understanding of cloud platforms — at least one of GCP, AWS, or Azure. Exposure to analytics workflows and BI environments. Strong experience working with Git, Jira, Confluence, Jenkins, and modern DevOps pipelines.

What We'd Love to See:Direct experience standing up a lakehouse architecture in a startup or fast-moving environment.

Hands-on experience with tools such as Airbyte, dbt, Prefect, Metabase, metriql, or equivalents. Experience developing customer-facing analytics platforms or embedded analytics solutions. Solid foundation in time-series data management, trend analysis, and anomaly detection.

Ability to thrive in a high-ownership, highly autonomous role with startup energy. Why Join Us?

Build the Foundation: You'll help architect a core platform that will power the company's data products and operational excellence for years to come. Be Early: As an early member of the team, you'll have outsized influence on technology choices, design decisions, and operational frameworks.

Own and Accelerate: Take on massive ownership, ship at startup speed, and see your work directly drive business outcomes.Culture of Excellence: Join a sharp, no-nonsense team focused on integrity, innovation, and rapid personal and professional growth. Compensation:We offer a competitive package commensurate with your experience and the value you bring. The approved compensation range for this role is up to 35 LPA.Apply even if you don't meet every single qualification

Research shows that women and underrepresented groups tend to self-select out of opportunities where they don't meet 100% of the listed criteria. If you're passionate about building transformative data platforms and believe you have the skills to contribute, we strongly encourage you to apply. You might be the perfect addition to our team