Databricks Platform Architect — Self-Service AI & Governance

Reinsurance Group of America, Incorporated; Kentucky; On-site; USD 127,000 - 189,000; Full time

Job summary

RGA seeks a Principal Databricks Architect to shape and scale its Databricks-based data science and AI platform, leading governance, self-service capabilities, and production-ready features for actuarial, data science, and analytics teams.

The role focuses on platform modernization with Unity Catalog, Snowflake interoperability, and end-to-end ModelOps, while guiding teams across regions to ensure scalable, cost-efficient deployments and responsible AI practices.

Qualifications

• Bachelor’s Degree in Arts/Sciences (BA/BS) Computer Science or equivalent education and experience - Required
• 10+ years progressive experience in enterprise-level IT functions - Required
• 7+ years experience in managing large enterprise data initiatives and teams - Required
• 5+ years architecting and operating enterprise-grade data and AI/ML platforms, with hands-on Databricks and Apache Spark experience on a major cloud (AWS preferred; Azure or GCP). - Required
• Modern Databricks Expertise—Unity Catalog, Delta Lake/Iceberg, Lakeflow/Delta Live Tables, MLflow, Model Serving, AI Agent Framework/Agent Bricks, Lakebase, Genie
• Data Science Enablement—self-service platform capabilities and developer experiences with ModelOps lifecycle
• Consulting & Communication—stakeholder management and adoption of tech by leadership
• Innovation & Initiative—drive technology transformations
• Thought Leadership—architecture vision and roadmaps
• Interoperability Experience—Databricks with Snowflake and open standards
• Availability for cross-time-zone meetings

Responsibilities

• Platform Vision & Architecture: Define end-to-end Databricks architecture across a global topology.
• Governance & Compliance: Lead Unity Catalog governance with least-privileged access and data sovereignty compliance.
• Interoperability & Data Integration: Architect Databricks-Snowflake integration using Iceberg and federation.
• Data Science Enablement & Self-Service: Create frameworks and templates for independent model development and deployment.
• ModelOps & Agent Operations: Mature model lifecycle governance and deployment via MLflow and AI Agent Framework.
• Performance, Observability & FinOps: Optimize compute, cost, and operational visibility.
• Consulting, Enablement & Innovation: Lead workshops and community of practice to propagate best practices.
• Team Building & Mentorship: Grow cross-functional teams and upskill members.

Skills

Databricks expertise

Data science enablement

Consulting & communication

Innovation & initiative

Thought leadership

Continuous improvement

Platform-as-a-Product

Interoperability with Snowflake

Cross-timezone availability

Education

BA/BS Computer Science or equivalent

10+ years enterprise IT experience

7+ years large data initiatives leadership

5+ years architecting data/AI platforms

Job description

RGA seeks a Principal Databricks Architect to shape and scale its Databricks-based data science and AI platform, leading governance, self-service capabilities, and production-ready features for actuarial, data science, and analytics teams.

The role focuses on platform modernization with Unity Catalog, Snowflake interoperability, and end-to-end ModelOps, while guiding teams across regions to ensure scalable, cost-efficient deployments and responsible AI practices.