Senior Databricks Architect/Data & AI Architect

Tasks

• Define end-to-end Lakehouse architectures, set technical strategy, drive presales/RFP technical responses, and engage directly with client executive leadership (VP/C-suite).
• Architect, design, and validate enterprise-grade Databricks Lakehouse, Real-Time Streaming, Data Engineering, and Generative/Agentic AI solutions.
• Design robust data pipelines leveraging Lakeflow Designer, Lakeflow Connect, and Lakeflow Declarative Pipelines.
• Establish unified enterprise governance, access controls, auditability, and data lineage across catalogs using Unity Catalog (RBAC/ABAC).
• Evaluate architectural trade-offs across performance, scalability, security posture, and cloud compute/storage costs (FinOps).
• Define interoperability strategies across Delta Lake and Apache Iceberg open table formats.
• Lead the architecture stream for major RFP, RFI, and client proposal responses, delivering high-impact technical narratives and architectural diagrams.
• Conduct architecture reviews, gap analyses, and proof-of-concept (PoC) implementations for strategic enterprise clients.

Requirements

• Senior / Principal (10+ Years)
• The ideal candidate blends deep, hands-on architectural expertise across the modern Databricks ecosystem-including real-time streaming, Lake flow pipelines, Unity Catalog governance, and agentic AI architectures-with proven experience in cloud platforms (Azure, GCP), data warehousing (Big Query), and strategic consulting.

Schedule

• 6 Months C2H
• Hybrid

Location

• Houston, TX