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 readiness
Define Lakehouse, Unity Catalog, Lakeflow, and Mosaic AI standards
Lead pursuit discovery, solution design, estimates, RFPs, and presentations
Direct legacy warehouse and ETL migrations to Databricks
Build assets, partnerships, offerings,



and market presence
Requirements: 10+ years technology leadership, including 5+ years executive experience
Enterprise Databricks delivery across Lakehouse, Delta Lake, and Lakeflow
Migration experience with legacy warehouses and ETL platforms
Production ML, generative AI, Python, PySpark, SQL, and Spark expertise
Databricks skilled or architect credential, or six-month commitment
Shape EPAM’s Databricks practice through executive advisory, production architecture, migration leadership, and public technical thought leadership.

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📌 Chief Technology Officer Databricks (Manitoba)
🏢 EPAM Systems
📍 Manitoba