Staff-Data Engineer

About the role

We're seeking a Staff Data Engineer with deep expertise in architecting and optimizing big data platforms, with a strong focus on Databricks. You'll drive the core design and performance of our lakehouse, enabling analytics, AI/ML, and product innovation at scale. As a senior technical leader, you'll own key components of our data platform — collaborating with architects, data scientists, and engineers to deliver high-performance, scalable solutions.

What you'll do

• Lead the architecture, design, and evolution of highly scalable, cloud‑native backend systems and APIs
• Design, build, and own Python-based API services (e.g., FastAPI) that expose data platform capabilities to consumers
• Design and optimize relational database schemas (PostgreSQL), including indexing, query tuning, and schema migration management
• Drive technical strategy for reliability, scalability, performance, and cost efficiency across data‑intensive workloads
• Own complex backend initiatives end‑to‑end, from design through production rollout and operational maturity

What you need

• 8–14 years in data science & ai
• Python
• AWS
• LLMs
• Spark
• CI/CD
• Terraform
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Power BI
• FastAPI
• PostgreSQL
• REST APIs
• IAM
• Databricks