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 qualified or architect credential, or six-month commitment

Shape EPAM’s Databricks practice through executive advisory, production architecture, migration leadership, and public technical thought leadership.

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