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.
Requirements
Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience 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
Lesser experience might be considered for a lesser grade
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
Bring your passion and expertise, and we'll provide the opVision insurance
Additional Information
Company
Federal Reserve Bank of St. Louis
The St Louis Fed is one of 12 Reserve Banks serving all or parts of Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi, and Arkansas with branches in Little Rock, Louisville and Memphis. The St. Louis Fed's most critical functions include promoting stable prices and economic growth, fostering a sound financial system, providing payment services to financial institutions, supporting the U.S. Treasury's financial operations, and advancing economic education, community development and fair access to credit. The Bank strives to maintain an engaging and exciting work environment that is both inviting and collegial.
The Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.
This role focuses on designing scalable data platforms, data models, and data governance frameworks to support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.
The Data Architect will partner closely with the Application/Enterprise Architect to ensure seamless integration between data platforms and application services.
Rb · St. Louis, MO