Sr. Data Architect, Databricks Champion

📋 Description

• Lead architecture for lakehouse implementations, platform migrations, and modernization programs on
• Design Delta Lake, medallion, and Unity Catalog patterns that balance performance, cost
• Own technical direction for migrations from legacy platforms (for example Teradata, Snowflake
• Define standards for ingestion, orchestration, CI/CD, testing, observability, and FinOps.
• Architect for AI readiness, including feature pipelines, Mosaic AI, model serving, and GenAI and
• Join discovery calls, run architecture workshops, and shape technical solutions for Databricks

🎯 Requirements

• Current Databricks Champion certification, in good standing.
• A shareable link to your Databricks credentials wallet showing all active certifications. We will
• 10+ years in data engineering or data architecture, with 4+ years of deep, hands on Databricks
• Proven delivery of production lakehouse implementations, including Delta Lake, Unity Catalog
• Strong command of Spark (PySpark and SQL), data modeling (dimensional, data vault, or lakehouse
• Experience designing for security and governance: access controls, lineage, PII handling, and