Chief Technology Officer - Databricks Data & AI Platform

Responsibilities

• Shape Client Data & AI Strategy: Advise client executives on multi-year data and AI platform strategy, target-state architecture, governance and AI readiness, and set the practice's vision and offerings for AI modernization, agentic analytics and advanced analytics
• Set Architecture & Engineering Standards: Define reference architectures and standards for Lakehouse and medallion architecture, Unity Catalog governance, Lakeflow pipelines and Mosaic AI, together with production-grade practices for CI/CD, MLOps, FinOps and the production release cycle
• Lead Strategic Pursuits
• Own the technical side of major Databricks opportunities, from discovery workshops and assessments to solution design, effort estimation, RFP responses, SOW shaping and executive presentations, and act as technical reviewer and escalation point across engagements
• Drive Legacy Modernization
• Lead the design of migration programs from legacy data warehouses and ETL platforms to Databricks, and build the practice's migration toolkit of assessment templates, conversion accelerators and reconciliation frameworks
• Own the Databricks Partnership
• Lead the technical relationship with Databricks, including co-selling, joint go-to-market and roadmap briefings, and grow the practice's standing in the Databricks partner program alongside AWS, Azure and GCP relationships
• Build the Practice & Market Presence
• Create reusable assets and solution offerings, lead public relations and analyst relations as the practice's primary technical spokesperson, and represent EPAM at conferences, webinars and Databricks community events

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