We are hiring a hands-on Lead Data Engineer for one of our US-based clients, an established product company running a modern cloud data platform. Trusted, traceable data drives the decisions their platform makes every day, and this role owns the data foundation behind it.

This is a build-and-lead role, not a manage-from-a-distance role. You will design and build pipelines, write and review SQL and Python, tighten orchestration, chase down production data issues, and set direction for a small data team (4 to 6 people). If your idea of a lead is someone who has stopped touching code, this is not the role for you.

What you will actually do:
Design, build, review and support production data pipelines and data models
Write and review SQL, Python, transformation logic and data quality checks
Improve orchestration so workflows are observable, restartable and easy to operate at 2am
Set up practical data validation, reconciliation and lineage so bad data gets caught early, not fixed downstream
Partner directly with the client's CTO on durable data architecture and honest build-versus-simplify calls
Coach a lean team and reduce the "only one person knows how this works" problem

The stack: Snowflake, dbt, Airflow, Python,



SQL, Tableau. Running on AWS (RDS, EKS, SQS, Redis/ElastiCache, S3). Application side is Java/Spring Boot with GitHub, Jira, Confluence and up-to-date CI/CD. You do not need every single tool, but you must be genuinely strong in a Snowflake, dbt, Airflow, Python, SQL and AWS world.

What we are looking for:
8+ years hands-on in data engineering, data platform or analytics engineering
Real depth in SQL, Python, data modelling and pipeline development
Proven experience building, debugging and supporting production data workflows in the cloud
Solid grip on data quality, validation, monitoring and production support
Enough leadership weight to earn trust from engineers in architecture and code reviews
Comfortable in a lean, rapid-moving company where leaders stay close to the work

Nice to have: experience with large-scale operational and analytics data; experience in a compliance-aware or regulated setting (SOC 2, data privacy, auditability, secure access); DataOps, data contracts, schema evolution; experience working with offshore or contractor teams.

📌 Lead Data Engineer Contract, Remote Pune
🏢 Vidyamohan
📍 Pune