Senior Solution Architect – Databricks, Data & AI - REMOTE

Required Qualifications

• Deep understanding of Databricks Lakeflow connect capabilities
• Extensive experience in addressing ingestion challenges from unsupported sources by Lakeflow connect. CDC handling and reconciliation techniques
• Expertise on Data quality libraries and experience putting together configuration based framework for plugin in DQ into ingestion pipelines.
• Deep understanding of AWS analytics and ingestion related services
• Extensive experience designing enterprise Databricks lakehouse architectures.
• Deep knowledge of Databricks, Spark, Delta Lake, Lakeflow, and Unity Catalog.
• Strong experience with medallion architecture and Bronze/Silver/Gold data patterns.
• Experience designing enterprise data governance, lineage, security, and access-control frameworks.
• Strong understanding of ABAC, RBAC, data classification, tagging, and least-privilege security.
• Experience designing production-grade data pipelines and reusable ingestion frameworks.
• Strong understanding of observability, data quality, CI/CD, deployment automation, and production support.
• Experience designing semantic layers and governed enterprise data products.
• Experience architecting AI/GenAI solutions that operate against governed enterprise data.
• Strong communication skills with the ability to work across engineering, security, architecture, and business teams.

Preferred Qualifications

• Databricks architecture or engineering certifications.
• Experience with Databricks Genie and AI/BI.
• Experience with MCP and agent-based architectures.
• Experience with enterprise GenAI governance, tracing, and evaluation.
• Experience integrating data across multiple enterprise business domains.
• Experience creating configuration-driven reusable data engineering frameworks.