Azure Databricks Lakehouse Architect & AI Leader

Frame Data & AI; Houston (TX); On-site; USD 130,000 - 210,000; Full time

Job summary

Frame Data & AI in Houston seeks a Senior Databricks Solution Architect to own the complete architecture lifecycle—from discovery and design to deployment and governance. You will architect Azure Databricks environments, set up landing zones, ensure secure, scalable foundations, and enable advanced analytics and AI capabilities.

You will lead technical discovery with clients, defend designs, estimate work, and guide onshore/nearshore delivery teams to production readiness.

Qualifications

• 8+ years of technology experience with data platforms and cloud architecture.
• 3+ years hands-on Databricks implementation and architecture.
• Experience building production Databricks platform from architecture to implementation.
• Strong Azure infrastructure knowledge: networking, identity, security, storage, deployment.
• Hands-on with Unity Catalog and data governance.
• Strong understanding of Delta Lake, Spark, SQL, PySpark, and medallion architecture.
• Experience with data ingestion, integration, orchestration, and data processing solutions.
• Experience with Terraform, CI/CD, and automated platform deployments.
• Working knowledge of Databricks SQL, AI/BI Dashboards, and Genie Spaces.
• Ability to produce detailed architecture diagrams, explain tradeoffs, and guide implementation teams.
• Demonstrated client-facing consulting, solution design, and technical leadership capabilities.
• Ability to work directly with Houston-based clients and travel as project delivery requires.

Responsibilities

• Architect and implement Azure Databricks environments from ground up, including greenfield deployments.
• Design Azure landing zones, subscriptions, networking, storage, identity, and platform connectivity.
• Establish development, testing, and production environments with isolation and governance.
• Design workspace architecture, compute strategies, serverless adoption, and workload isolation.
• Define architectural standards for scalability, reliability, availability, and disaster recovery.
• Develop architecture diagrams, technical design documents, deployment patterns, and roadmaps.
• Lead client discovery workshops to assess objectives and translate requirements into practical architectures.
• Guide engineering teams through delivery and present tradeoffs to CIOs and IT leaders.

Skills

Databricks architecture

Azure infrastructure

Solution design

Client-facing

Leadership

Security governance

Tools

Databricks

Terraform

Azure

Unity Catalog

Job description

Frame Data & AI in Houston seeks a Senior Databricks Solution Architect to own the complete architecture lifecycle—from discovery and design to deployment and governance. You will architect Azure Databricks environments, set up landing zones, ensure secure, scalable foundations, and enable advanced analytics and AI capabilities.

You will lead technical discovery with clients, defend designs, estimate work, and guide onshore/nearshore delivery teams to production readiness.