Information Management Data Architect

🔥 0 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $126.7k - $188.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Reinsurance Group of America, Incorporated

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

⚕️ Healthcare Insurance

Insurance • Healthcare Insurance • Financial Services

Reinsurance Group of America, Incorporated (RGA) is a leading global reinsurance company that focuses exclusively on life and health reinsurance solutions. With a strong commitment to providing innovative products and services, RGA helps its clients manage risk and enhance their insurance portfolios through its expertise in underwriting, claims management, and financial solutions. The company operates in multiple global markets, leveraging its extensive data and analytics capabilities to offer tailored solutions that meet the unique needs of the life and health insurance sectors.

📋 Description

• Define and champion the end-to-end architecture for the Databricks data science and AI platform across a global topology — ensuring scalability, security, cost efficiency, resilience, and compliance with regional data sovereignty laws. • Establish reference architectures, patterns, and blueprints that encourage enterprise-wide reuse and standardization. • Lead the design and adoption of Unity Catalog as the central governance plane—defining catalog hierarchies, fine-grained (row/column) access, dynamic data masking, lineage, and classification. • Partner with infrastructure, security, and compliance teams to enforce least-privileged access, responsible AI, and regulatory requirements including data sovereignty across US, EMEA, and APAC. • Architect robust, low-duplication integration between Databricks and the enterprise data platform (Snowflake) using open formats such as Apache Iceberg and Unity Catalog federation. • Enable seamless bi-directional data access and feature sharing so teams can choose the right tool without paying a tax to deploy across environments. • Partner directly with actuarial, data science, and analytics teams to understand their workflows and build frameworks, templates, IDE/notebook experiences, and documentation that let them independently develop, train, and deploy models and AI agents. • Mature the ModelOps strategy spanning model lifecycle, governance, versioning, and deployment at scale using MLflow, Model Serving, and the AI Agent Framework. • Optimize compute, clusters, and jobs (classic and serverless) for performance, reliability, and cost. • Establish platform and solution-level observability, tagging coverage, chargeback/show back, and self-service cost and usage analytics so teams can consume responsibly with predictable spend. • Serve as a trusted advisor and enablement partner to data science and business teams—running discovery workshops, proofs-of-concept, and technology evaluations. • Curate a community of practice, promote sanctioned patterns, and continuously bring contemporary Databricks best practices to complex data and AI challenges. • Mentor and upskill team members, promote knowledge sharing, and build high-performing, cross-functional teams focused on excellence in data and AI.

🎯 Requirements

• 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 • Deep knowledge of the Databricks Data Intelligence Platform—Unity Catalog, Delta Lake/Iceberg, Lakeflow/Delta Live Tables, MLflow, Model Serving, AI Agent Framework/Agent Bricks, Lakebase, and Genie—plus lakehouse architecture, ETL/ELT, and infrastructure-as-code (Terraform, Databricks Asset Bundles). - Required • Demonstrated success building self-service platform capabilities and developer experiences that empower data science teams, along with a ModelOps track record covering lifecycle management, versioning, governance, and deployment automation. - Required • Strong consulting, stakeholder management, and communication skills, with a track record of influencing senior leadership and driving technology adoption. - Required • Demonstrated ability to drive innovation, introduce contemporary practices, and lead technology transformations. - Required • Ability to define and communicate architecture vision, roadmaps, and best practices to both technical and non-technical audiences. - Preferred • Passion for learning, sharing knowledge, and staying ahead of industry trends in data and AI. - Preferred • Passion for delivering frictionless, self-service experiences and measurable business value—treating internal data science teams as customers and continuously improving their journey from prototype to production. - Preferred • Familiarity integrating Databricks with Snowflake and other engines via open standards (Apache Iceberg, Unity Catalog/Lakehouse federation) to minimize data duplication and governance gaps. - Preferred • Availability for cross-time-zone meetings. - Preferred

🏖️ Benefits

• Health insurance • Retirement plans • Annual bonus plan • Long-term equity incentive plan