Lead a data engineering practice centered on Databricks, delivering hands-on Databricks/Spark projects on a major cloud platform (AWS, Azure, or GCP). The role demands deep experience with CI/CD, GenAI, MLOps concepts, and platform optimization.
7+ years of data engineering experience, 10+ years overall.
6 to 8 delivered Databricks projects with hands-on development.
Databricks Professional certification preferred, but not a hard requirement.
Experience with at least one cloud platform (AWS, Azure, or GCP).
Knowledge of Spark, CI/CD, GenAI and MLOps concepts, platform breadth, and optimization.