Define and execute the enterprise cloud data platform strategy, aligning platform investments with business priorities, data/AI objectives, and long-term technology roadmaps.
Lead the engineering and operations of the full data platform ecosystem — including cloud data warehouses/Lakehouses, data integration, transformation, orchestration, observability, and data quality services.
Establish and enforce technology standards, reference architectures, and engineering guardrails that ensure platform consistency, scalability, security, and interoperability across the data ecosystem.
Partner with business, product, and technology leaders to translate data needs into prioritized platform capabilities and investment cases with clear ROI.
Requirements
Bachelor’s Degree in Arts/Sciences (BA/BS) in computer science, Engineering, Information Systems, or related discipline
required
12+ Years of progressive experience in data engineering, data platform engineering, or enterprise data infrastructure, with 5+ years in senior or executive leadership roles -required
Proven experience leading enterprise-scale cloud data platform initiatives, including modern data warehouses, Lakehouses, and cloud-native data ecosystems (e.g., Snowflake, Databricks, or equivalent)
required
Experience implementing data governance, security, and regulatory compliance frameworks in cloud data environments
required
Strong knowledge of cloud architectures (AWS, Azure, or GCP) and experience designing secure, scalable, and cost-efficient data platform infrastructure.
required
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
RGA provides an annual bonus plan that includes all roles
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