Databricks Architect - Lakehouse Modernization

Job Description: Databricks Architect - Lakehouse Modernization Anblicks is seeking a Databricks Architect to drive design, data modeling, and solution strategy for migrations from legacy data platforms to the Databricks lakehouse. The role sets Delta architecture standards and cutover-safe migration patterns across multiple concurrent client builds. Key Responsibilities: Design target-state lakehouse architectures: Delta patterns, medallion layering, workflow orchestration, governance, and performance engineering. Drive data modeling on Delta for complex enterprise domains; align shared frameworks (transformation, validation, lineage) to Databricks equivalents. Define migration plans, load strategies, validation and reconciliation approaches, and cutover designs for lakehouse targets. Lead design reviews with client architecture teams and guide build teams hands-on. Apply AI-assisted and accelerator-driven conversion approaches; tune Spark workloads for scale and cost. Qualifications: 12+ years in data engineering/architecture; 4+ years architecting Databricks/lakehouse solutions at enterprise scale. Hands-on experience across data platform modernization programs (legacy to modern cloud platforms), including AI-enabled and accelerator-driven delivery, migration planning, data validation and reconciliation strategies, parallel runs, and cutover execution. Strong Delta data modeling and Spark performance engineering; Unity Catalog governance preferred. dbt on Databricks and multi-cloud (AWS primary) experience a plus. MarTech or customer data exposure a plus. Ability to both drive design and execute. #J-18808-Ljbffr Anblicks