Information Management Databricks Architect

United States, Chesterfield, MO, RGA HQ, United States

Full Time Senior-level / Expert Clearance required USD 123K - 184K

Reinsurance Group of America

At RGA, we specialize in providing life and health-related reinsurance and financial solutions to help our clients effectively manage risk and capital.

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You desire impactful work.
 

You’re RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 500 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

We are seeking a forward-thinking Databricks Architect to lead the adoption and integration of Databricks as our enterprise AI/ML platform. This individual will establish the technical architecture, drive innovation, and ensure seamless collaboration with internal infrastructure teams to align with organizational standards. The ideal candidate will empower our data science community with self-service model development and deployment capabilities, while ensuring global deployment of AI models in compliance with data sovereignty regulations. As a key consultant and influencer, you will be expected to bring contemporary best practices, foster team growth, and continuously improve our data and AI capabilities.

Principle Duties:

  • Architecture Leadership: Design, implement, and optimize scalable, secure, and compliant Databricks-based AI/ML architectures that support advanced analytics, data engineering, and machine learning workloads.

  • Collaboration & Compliance: Partner with internal infrastructure, security, and compliance teams to ensure all solutions meet organizational standards and regulatory requirements, including data sovereignty and global deployment needs.

  • Data Integration: Architect and implement robust integrations with diverse internal and external data sources, enabling efficient data ingestion, transformation, and access for analytics and AI/ML workflows.

  • Self-Service Enablement: Develop frameworks, tools, and documentation to enable data scientists and analysts to develop, train, and deploy models independently, fostering a culture of self-service and innovation.

  • ModelOps Strategy: Develop and implement a comprehensive ModelOps strategy to manage model lifecycle, governance, versioning, and deployment at scale. Ensure seamless integration with existing DevOps and DataOps practices.

  • Performance & Governance: Optimize Databricks workflows, clusters, and jobs for performance, cost-efficiency, and reliability. Establish and enforce data governance, security, and lineage practices.

  • Consulting & Innovation: Serve as a trusted advisor to stakeholders, providing thought leadership, best practices, and innovative solutions to complex data and AI challenges. Lead discovery workshops, proof-of-concept initiatives, and technology evaluations.

  • Team Building & Mentorship: Mentor and upskill team members, promote knowledge sharing, and build high-performing, cross-functional teams focused on excellence in data and AI.

  • Global Deployment: Architect and support worldwide deployment of AI models, ensuring compliance with regional data sovereignty laws and organizational policies.

Qualifications:

Education:

  • Bachelor’s Degree in Arts/Sciences (BA/BS) Computer Science or equivalent education and experience required

Work Experience:

  • 10+ Years progressive experience in enterprise-level IT functions required

  • 7+ Years experience in managing large enterprise data initiatives and teams required

  • 5+ Years working with enterprise-grade data integration, database modeling and engineering solutions

Skills & Abilities:

  • Technical Expertise: Deep understanding of data lakehouse architectures, ETL/ELT pipelines, data governance, and security best practices.

  • ModelOps Strategy: Demonstrated experience in developing and implementing a ModelOps strategy, including model lifecycle management, versioning, governance, and deployment automation.

  • Consulting & Communication: Strong consulting, stakeholder management, and communication skills, with a track record of influencing senior leadership and driving technology adoption.

  • Innovation & Initiative: Demonstrated ability to drive innovation, introduce contemporary practices, and lead technology transformations.

  • Thought Leadership: Ability to define and communicate architecture vision, roadmaps, and best practices to both technical and non-technical audiences.

  • Continuous Improvement: Passion for learning, sharing knowledge, and staying ahead of industry trends in data and AI.

  • Customer Focus: Commitment to delivering measurable business value and exceptional user experiences.

What you can expect from RGA:

  • Gain valuable knowledge from and experience with diverse, caring colleagues around the world.

  • Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.

  • Join the bright and creative minds of RGA, and experience vast, endless career potential.

Compensation Range:

$123,500.00 - $184,050.00 Annual

Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits.

RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

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Category: Architecture Jobs

Tags: Architecture Computer Science Consulting Databricks Data governance DataOps DevOps ELT Engineering ETL Machine Learning ML models Pipelines Security

Perks/benefits: Career development Equity / stock options Health care Salary bonus Startup environment

Region: North America
Country: United States

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