Description
The Databricks Lead – Delivery & Engineering will lead hands-on Databricks delivery and engineering teams, building and optimizing Spark and Delta Lake pipelines, implementing jobs, workflows, and CI/CD, designing lakehouse data platforms, and developing scalable batch and streaming data ingestion, ETL/ELT, and data modeling capabilities. The role focuses on performance, cost, reliability, scalability, observability, and adherence to CoE standards, with 10–12 years of data engineering experience and 3–5 years of hands-on Databricks experience required.
