Databricks Solution Architect (Data & AI)

Responsibilities

• Design end to end Lakehouse architectures on Databricks (Azure, AWS, or GCP), covering ingestion, medallion modeling, serving, governance, and cost control
• Lead discovery and architecture workshops with client executives and engineering teams, and present proposed solutions and roadmaps clearly
• Partner with sales and the Databricks field team on pursuits: shape solutions, answer RFPs, build proposals, estimate effort, and run POCs
• Define target architectures and migration paths from other solutions to Databricks
• Architect governance with Unity Catalog, including access control, lineage, data sharing, and compliance with client security requirements
• Design AI solutions, including RAG, agentic workflows, Model Serving, Vector Search, and MLflow based LLMOps and MLOps
• Guide delivery teams through build and go live, and review, audit, and improve existing designs and system architectures
• Run performance tuning, optimization, and FinOps reviews for Spark and Databricks SQL workloads

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