Job Title

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 ahands-on Data Platform Engineerto help lead the way. Working alongside a Staff Data Architect and Engineer, you will play a key role indesigning 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, Next.js 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 alakehouse architecturein 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.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!