Data Architect

Company

Federal Reserve Bank of St.

Louis

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 Architect to ensure seamless integration between data platforms and application services.

Key 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.

Required Qualifications


* 7-10+ 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 for external customer-facing platforms.

Demonstrated 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 and knowledge of data privacy regulations.

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 to ingest, process, store and expose data across the enterprise.

Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions.


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