21 days ago
Remote, United StatesStaff+
Base Salary
$127k - $189k/yr
Responsibilities
- Define and champion the global end-to-end architecture for RGA’s Databricks data science and AI platform.
- Design Unity Catalog hierarchies, fine-grained access controls, dynamic masking, lineage, classification, least-privilege access, and data governance.
- Architect low-duplication, bidirectional integration between Databricks and Snowflake using Apache Iceberg and Unity Catalog federation.
- Build self-service frameworks, templates, notebook and IDE experiences, and documentation for actuarial, analytics, and data science teams.
- Mature ModelOps covering model lifecycle management, governance, versioning, deployment, MLflow, Model Serving, and AI agent operations.
- Optimize compute, clusters, jobs, observability, tagging, chargeback/showback, and self-service cost analytics.
- Lead discovery workshops, proofs of concept, technology evaluations, communities of practice, and Databricks enablement initiatives.
- Mentor team members and help build high-performing cross-functional data and AI teams.
Requirements
- Bachelor’s degree in computer science or equivalent education and experience.
- 10+ years of progressive experience in enterprise-level IT functions.
- 7+ years of experience managing large enterprise data initiatives and teams.
- 5+ years of experience architecting and operating enterprise-grade data and AI/ML platforms, with hands-on Databricks and Apache Spark experience on a major cloud.
- Deep knowledge of Databricks, Unity Catalog, Delta Lake/Iceberg, Lakeflow/Delta Live Tables, MLflow, Model Serving, AI Agent Framework/Agent Bricks, Lakebase, Genie, lakehouse architecture, ETL/ELT, Terraform, and Databricks Asset Bundles.
- Demonstrated success building self-service platform capabilities and developer experiences for data science teams, including ModelOps lifecycle management, versioning, governance, and deployment automation.
- Strong consulting, stakeholder management, communication, architecture vision, roadmap, innovation, and technology-transformation skills.
- Preferred experience integrating Databricks with Snowflake and other engines through Apache Iceberg and Unity Catalog/Lakehouse federation.
- Preferred willingness to participate in cross-time-zone meetings and maintain continuous learning and knowledge sharing.
Benefits
- Remote work is indicated by the #LI-Remote designation.
- RGA offers health, retirement, and other employee benefits.
- Employees can gain experience with diverse colleagues globally in a respectful and collaborative environment.
- The role may participate in an annual bonus plan and, for eligible positions, a long-term equity incentive plan.
Tech Stack
Categories
Data EngineeringML Engineering