Chief Technology Officer Databricks

Lead Databricks strategy, architecture, and migration as EPAM’s Chief Technology Officer for its Data & AI consulting practice. Guide enterprise modernization globally.Reporting to the CEO, this senior technical authority advises client executives and leads Databricks pursuits. The role shapes Lakehouse offerings, owns Databricks relationships, and builds reusable practice assets. It also represents EPAM with partners, analysts, and industry audiences.Key Responsibilities:
Advise executives on data strategy, architecture, governance, and AI readinessDefine Lakehouse, Unity Catalog, Lakeflow, and Mosaic AI standardsLead pursuit discovery, solution design, estimates, RFPs, and presentationsDirect legacy warehouse and ETL migrations to DatabricksBuild assets, partnerships, offerings, and market presenceRequirements:
10+ years technology leadership, including 5+ years executive experienceEnterprise Databricks delivery across Lakehouse, Delta Lake, and LakeflowMigration experience with legacy warehouses and ETL platformsProduction ML, generative AI, Python, PySpark, SQL, and Spark expertiseDatabricks professional or architect credential, or six-month commitmentShape EPAM’s Databricks practice through executive advisory, production architecture, migration leadership, and public technical thought leadership.
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