Senior Data Platform Architect – Time-Series & Governance

Federal Reserve Bank of Boston; Boston (MA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Retirement Plan

Paid Vacation

Job summary

Federal Reserve Bank of St. Louis is seeking a Data Architect to lead design and modernization of data architecture powering economic data platforms such as FRED. You will design scalable data platforms, models, and governance to support growth, analytics, and global access.

Responsibilities include defining target architecture, metadata schemas, and collaborating with the Application Architect to optimize data access across APIs and applications. Strong data stack and cloud experience required.

Qualifications

• 7-10+ years in data architecture or data engineering in regulated environments.
• Deep knowledge of data stacks, cloud platforms (AWS preferred), and governance.
• Experience with scalable data platforms and external/public-facing services.

Responsibilities

• Define and evolve the target data architecture for economic data systems.
• Design storage for billions of time-series observations and revisions.
• Develop metadata schemas for discoverability, lineage, and governance.
• Standardize data structures and metadata across platforms.
• Implement scalable data processing for growing datasets.
• Improve indexing and metadata strategies for search and discovery.
• Enable advanced analytics and optimize API data access.
• Collaborate with Application Architect on data access patterns.

Skills

Data architecture

Cloud data platforms

Data modeling

Data governance

SQL/Query tools

PostgreSQL

Security/compliance

Communication

Tools

PostgreSQL

AWS

Job description

Federal Reserve Bank of St. Louis is seeking a Data Architect to lead design and modernization of data architecture powering economic data platforms such as FRED. You will design scalable data platforms, models, and governance to support growth, analytics, and global access.

Responsibilities include defining target architecture, metadata schemas, and collaborating with the Application Architect to optimize data access across APIs and applications. Strong data stack and cloud experience required.