Data Engineering Manager

Hybrid onsite 2 days/week or 8 days/month

1 interview will be onsite (2 interview process)

Databricks is a must

AWS or Azure

Must be able to do code reviews of Python code

Create designs and validate code

own the architecture

As the Data Engineering Manager, you will be responsible for architecting, implementing, and optimizing end-to-end data solutions on Databricks while integrating with core AWS services. You will lead a technical team of data engineers, ensuring best practices in performance, security, and scalability. This role requires a deep, hands‑on understanding of Databricks internals and a track record of delivering large‑scale data platforms in a cloud environment.

Lead a team of data engineers in the architecture and maintenance of Databricks Lakehouse platform, ensuring optimal platform performance and efficient data versioning using Delta Lake.

Manage and optimize D...