Lead and scale the Databricks Center of Excellence, owning strategy, GTM, governance, partner alignment, and delivery excellence for Databricks Lakehouse, AI, and GenAI solutions. Own the lifecycle of Databricks-specific accelerators and IP assets that support delivery and presales.
Key Responsibilities
Define Databricks CoE vision, roadmap, and operating model
Establish Databricks as the default Lakehouse platform
Own Databricks GTM offerings, industry solutions, and accelerators
Drive Databricks partner alignment, certifications, and maturity
Govern architecture, security, FinOps, and delivery standards
Act as executive sponsor for strategic Databricks engagements
Build and mentor senior Databricks leadership team
Design reusable Databricks frameworks and accelerators
Build ingestion, DQ, and medallion pipelines
Ensure accelerators leverage Databricks native features
Maintain documentation and demo environments
Support Databricks presales and PoCs
Experience
14–16 years in Data & Analytics
3+ years leading data platforms or CoEs
4+ years of Databricks platform ownership or large-scale implementations
Strong presales and executive stakeholder experience
Experience in building offerings and solutions
Skills
Deep understanding of Databricks Lakehouse architecture
Spark, Delta Lake, Unity Catalog (conceptual + practical)
