> Markdown version of [/jobs/ext/1334055-data-architect](https://www.wearedevelopers.com/jobs/ext/1334055-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** The Federal Reserve Bank - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Application Services, Audit Trail, Big Data, Cloud Database, Data Architecture, Information Engineering, Data Governance, Data Security, Data Systems, Data Warehousing, Database Design, Information Lifecycle Management, Meta-Data Management, Cloud Services, DataOps, SQL Databases, Data Streaming, Technical Data Management Systems, Enterprise Software Applications, Data Storage Technologies, Data Classification, Caching, Storage Technologies, Integration Frameworks, Data Management - **Published:** July 18, 2026 - **Apply:** https://www.jofdav.com/jobs/58892790-data-architect ## About the Role * 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 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. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. 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 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., * 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. ## Description 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. 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)