Description:

Lead the design, build, and scaling of a cloud-based lakehouse platform on Databricks.
Own the end-to-end architecture of the data ecosystem, partnering with data science and analytics teams.

Requirements:

8+ years of data engineering experience, with 4+ years on Databricks.
Deep expertise in Apache Spark (PySpark and Spark SQL) and production experience on AWS, Azure, or GCP.
Strong hands-on experience with Delta Lake, Unity Catalog, and Databricks Workflows.
Proficiency in Python and SQL; comfort with Scala is a plus.
Experience with CI/CD practices and mentoring engineers.

Skills