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Federal Reserve Board

Data Architect

Federal Reserve Board

Data Architect designing scalable data systems for economic applications with the St. Louis Fed.

Posted 5/20/2026full-timeCalifornia, Illinois, Montana, Ohio, Pennsylvania • 🇺🇸 United StatesSeniorLead💰 $140,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 7+ years of experience in data architecture, data engineering or database design
  • 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
  • Knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools
  • Industry-related certifications in one or more of the above areas are desired
  • Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms
  • 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
  • Outstanding communication and collaboration skills
  • US Citizenship required

Benefits

Comp & perks
  • 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
  • And more...

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data architecturedata engineeringdatabase designdata modeling techniquesdata lifecycle managementcloud data platformsSQLdata processing frameworksmetadata schemasdata storage technologies
Soft Skills
communication skillscollaboration skills