Job Title: Data Engineering Lead –
Role Summary:

We are looking for a Data Engineering Lead to lead a team of data engineers in building and delivering scalable ingestion and transformation pipelines on

Databricks + AWS , ensuring engineering execution aligns with the platform's architecture and delivery timelines.
Key Responsibilities
Lead a team of Data Engineers delivering

Bronze/Silver/Gold

pipelines across batch, near-real-time, streaming, and CDC patterns
Drive hands-on implementation and code/design reviews for ingestion pipelines ( AWS Glue, DMS, DataSync ) and streaming jobs ( Kinesis, Kafka, or Databricks Structured Streaming )
Own sprint planning, task allocation, and delivery tracking for the engineering pod
Ensure adherence to Unity Catalog governance standards, data quality checks, and orchestration best practices ( Airflow/MWAA )
Troubleshoot complex pipeline/performance issues and mentor junior engineers




Collaborate closely with the Data Architect to translate architecture into engineering execution
Support client/stakeholder updates on engineering progress and technical blockers
Must-Have Skills
7–10 years

in data engineering, including

2+ years

leading a team/pod
Strong hands-on

Databricks/Spark ,

Delta Lake ,

SQL , and

Python/PySpark

expertise
Strong

AWS data services

experience: Glue, S3, DMS; working knowledge of Kinesis/MSK or Kafka
Solid understanding of medallion architecture, CDC ingestion, and orchestration tools
Proven ability to manage delivery timelines and mentor a team
Valuable-to-Have:

Exposure to vector databases, RAG pipeline data prep, or agentic/AI tooling (Bedrock, Mosaic AI).

📌 Lead Engineer (Mumbai)
🏢 Tech Mahindra
📍 Mumbai