Data Architect

The Federal Reserve Bank of St. Louis (St. Louis Fed) is one of 12 Reserve Banks serving regions in Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi, and Arkansas. It manages economic data platforms such as FRED, which handle massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications. The Data Architect will lead the design and modernization of the data architecture that powers these platforms.

Responsibilities

• Define and evolve the target data architecture supporting economic data systems.
• Design scalable storage architectures capable of supporting billions of time‑series observations and historical revisions.
• Develop metadata schemas supporting dataset discoverability, lineage, and governance.
• Standardize dataset structures and metadata across multiple platforms.
• Implement scalable data processing frameworks capable of supporting growing dataset volumes.
• Improve indexing and metadata strategies that support dataset search and discovery.
• Enable advanced analytical capabilities for researchers and developers.
• Partner with the Application Architect to optimize data access patterns for APIs and applications.

Qualifications

• 7+ years of experience in data architecture, data engineering, or database design and large‑scale enterprise cloud data implementations in complex, highly regulated environments.
• Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
• Demonstrated experience designing, architecting, and supporting external/public‑facing applications with a strong emphasis on scalability, security, availability, and performance.
• Experience leading adoption of industry best practices in DataOps, modern data stack tools, data governance, SQL and other query tools, and knowledge of data privacy regulations.
• Industry‑related certifications in one or more of the above areas are desired.
• Expert knowledge of data modeling techniques and tools, data lifecycle management, and integration patterns.
• Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements.
• Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
• Outstanding communication and collaboration skills, including translating technical topics and risks into business teams.
• Ability to personalize communication to audiences from technologists to executive leadership.
• Extensive, in‑depth experience implementing highly complex technology projects in a cross‑functional matrix environment with demonstrated ability to drive consensus and deliver results.
• Examples of leading through influence and successfully resolving conflicting priorities are required.
• US citizenship required.

Preferred Qualifications

• Experience working with time‑series data platforms or analytical datasets.
• Experience with distributed query engines and large‑scale data processing systems.
• Experience with data catalog and metadata management platforms.
• Familiarity with economic datasets or research data environments.
• Experience supporting public data access or research‑oriented platforms.

Benefits

• Salary: $140‑170k
• Generous paid time off
• Tuition & training assistance/reimbursement
• 401(k) match & annuity/pension fund
• Top‑notch health care benefits
• Child and family care leave
• Professional development opportunities
• Flexible work environment

Equal Opportunity Employer. Full Time, Exempt.

We are committed to a strong and resilient economy for all and strive to create an inclusive workplace where all employees can thrive.