[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-architect-federal-reserve-bank-of-st-louis-de-us":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":90,"processed_longitude":91,"processed_employment_types":92,"processed_working_hours":93,"processed_working_hours_labels":95,"processed_home_office":96,"processed_salary_min":87,"processed_salary_max":88,"processed_salary_currency":84,"processed_salary_source":97,"processed_benefits":98,"processed_benefits_labels":113,"processed_industry":114,"processed_skills":7,"processed_job_location":115,"processed_full_address_gmaps":117,"processed_street_gmaps":119,"processed_city_gmaps":120,"processed_postal_code_gmaps":121,"processed_country_gmaps":122,"processed_country_iso_code_gmaps":124,"full_description":16,"formatted_description":125,"processed_employment_types_labels":36,"processed_home_office_labels":34,"processed_industry_labels":38,"processed_it_skills":126,"processed_it_skills_labels":130,"processed_soft_skills":131,"processed_soft_skills_labels":132,"processed_job_expertise_skills":133,"processed_job_expertise_skills_labels":134,"processed_language_requirements":135,"processed_total_experience_years":142,"processed_professional_field":143,"processed_professional_field_labels":146,"processed_leadership_role":12,"processed_date_posted":20,"raw_job_url":147,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":148,"canonical_industry_label":149,"max_cpc":150,"actual_cpc":7},76886,"data-architect-federal-reserve-bank-of-st-louis","Data Architect",null,{"name":9,"slug":10,"logo_url":7},"Federal Reserve Bank of St. Louis","federal-reserve-bank-of-st-louis",false,true,{"@context":14,"@type":15,"title":6,"description":16,"hiringOrganization":17,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":34,"employmentType":35,"industry":37,"skills":39,"baseSalary":82},"https:\u002F\u002Fschema.org\u002F","JobPosting","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\u002FML 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 \u002F 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. Strong recent hands-on experience with PostgreSQL, including schema design, advanced indexing strategies, partitioning, query optimization, and high-availability configurations, ideally in the context of large-scale time-series. 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. Candidates with less experience may be considered at a lower job grade or salary. Preferred Qualifications 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. Additional Information Location(s): The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.  Locations: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA Remote Eligible: No Current remote employees will not be guaranteed to keep their remote status with their employing bank. Salary Salary for St. Louis: $140,000 - $170,000 The listed salary is applicable to the Federal Reserve Bank of St. Louis. Final offers are determined by factors including the candidate’s qualifications, internal alignment considerations, district assignment, and geographic location.   Total Rewards Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth—along with a wide range of benefits and perks that support your health, wealth, and life. In addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance: Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period 401k\u002FThrift Plan with generous employer match Employer-funded Pension Plan Paid Vacation\u002FSick Time and Holidays Flexible Spending Accounts and Healthcare Spending Accounts Life Insurance and Long Term Disability Insurance Tuition Reimbursement (undergraduate and graduate) Parental Leave Free onsite 24\u002F7 Fitness Center including training classes, and locker room \u002F shower facilities Onsite Cafeteria and Coffee Shop Additional Convenience Benefits, Discounts and More… At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture. The Federal Reserve Bank of St Louis is an Equal Opportunity Employer. #LI-Onsite Full Time \u002F Part Time Full time Regular \u002F Temporary Regular Job Exempt (Yes \u002F No) Yes Job Category Information Technology Family Group Work Shift First (United States of America) The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Always verify and apply to jobs on Federal Reserve System Careers (https:\u002F\u002Frb.wd5.myworkdayjobs.com\u002FFRS) or through verified Federal Reserve Bank social media channels. Privacy Notice OUR BANK has one of the most recognizable brands around the world. The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations. The Federal Reserve is charged with the important mission of promoting a strong economy and a stable financial system and fulfills this responsibility by formulating national monetary policy, supervising and regulating banks and bank holding companies, and providing financial services for banks and the U.S. government. OUR PEOPLE are diverse in background and ideas, which allows for ongoing creativity and innovation. Ultimately, they are the ones who push our high-performance, exchange-driven culture forward. Why Our People Choose Us: Our reputation precedes us There will always be room for personal growth Our people are first You’ll find the right balance Your responsibilities will be meaningful We hope that you will be our future colleague. Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels. Please check back later for more information on available job opportunities.",{"@type":18,"name":19},"Organization","08H Federal Reserve Bank of St. Louis","2026-09-18","2027-09-18",[23],{"@type":24,"address":25,"geo":30},"Place",{"@type":26,"addressLocality":27,"addressCountry":28,"addressRegion":29},"PostalAddress","St. Louis","US","Missouri",{"@type":31,"latitude":32,"longitude":33},"GeoCoordinates",38.62742799999999,-90.1982439,"ONSITE",[36],"PERMANENT",[38],"Central Banking \u002F Financial Services",[40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81],"PostgreSQL","SQL","AWS","Cloud Data Platforms","Data Modeling Tools","Data Warehousing Tools","Big Data Technologies","Machine Learning","AI","Data Catalog Platforms","Metadata Management Platforms","Distributed Query Engines","Large-scale Data Processing Systems","Communication","Collaboration","Influence","Consensus Building","Conflict Resolution","Leadership","Data Architecture","Data Engineering","Database Design","Data Governance","Data Security","DataOps","Data Privacy Regulations","Data Lifecycle Management","Data Integration Patterns","Data Storage Technologies","Partitioning Strategies","Caching","Data Access Patterns","Data Classification","Access Control","Encryption","Retention Policies","Auditability","Time-series Data","Analytical Datasets","Economic Datasets","Research Data Environments","Public Data Access",{"@type":83,"currency":84,"value":85},"MonetaryAmount","USD",{"@type":86,"minValue":87,"maxValue":88,"unitText":89},"QuantitativeValue",140000,170000,"YEAR",[32],[33],"permanent",[94],"FULL_TIME",[94],"onsite","estimated",[99,100,101,102,103,104,105,106,107,108,109,110,111,112],"Medical insurance (4 options)","Prescription coverage","Dental insurance (3 options)","Vision insurance with no waiting period","401k\u002FThrift Plan with generous employer match","Employer-funded Pension Plan","Paid Vacation\u002FSick Time and Holidays","Flexible Spending Accounts and Healthcare Spending Accounts","Life Insurance and Long Term Disability Insurance","Tuition Reimbursement (undergraduate and graduate)","Parental Leave","Free onsite 24\u002F7 Fitness Center including training classes, and locker room \u002F shower facilities","Onsite Cafeteria and Coffee Shop","Additional Convenience Benefits, Discounts and More",[99,100,101,102,103,104,105,106,107,108,109,110,111,112],"central banking \u002F financial services",[116],"federal, st. louis, mo, united states of america",[118],"St. Louis, Missouri, USA",[],[27],[],[123],"USA",[28],"**Company** Federal Reserve Bank of St. Louis\n\nThe 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\u002FML 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.\n\n## Key Responsibilities\n\n- Define and evolve the target data architecture supporting economic data systems.\n- Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.\n- Develop metadata schemas supporting dataset discoverability, lineage, and governance.\n- Standardize dataset structures and metadata across multiple platforms.\n- Implement scalable data processing frameworks capable of supporting growing dataset volumes.\n- Improve indexing and metadata strategies that support dataset search and discovery.\n- Enable advanced analytical capabilities for researchers and developers.\n- Partner with the Application Architect to optimize data access patterns for APIs and applications.\n\n## Required Qualifications\n\n- 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.\n- Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.\n- Demonstrated experience designing, architecting and supporting external \u002F public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms.\n- 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.\n- Industry-related certifications in one or more of the above areas are desired.\n- 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.\n- 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.\n- 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.\n- Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.\n- Strong recent hands-on experience with PostgreSQL, including schema design, advanced indexing strategies, partitioning, query optimization, and high-availability configurations, ideally in the context of large-scale time-series.\n- Outstanding communication and collaboration skills, including translating technical topics and risks into business teams.\n- Ability to personalize communication to audience from technologists to executive leadership.\n- Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results.\n- Examples of leading through influence and successfully resolving conflicting priorities are required.\n- Candidates with less experience may be considered at a lower job grade or salary.\n\n## Preferred Qualifications\n\n- Experience working with time-series data platforms or analytical datasets.\n- Experience with distributed query engines and large-scale data processing systems.\n- Experience with data catalog and metadata management platforms.\n- Familiarity with economic datasets or research data environments.\n- Experience supporting public data access or research-oriented platforms.\n\n## Additional Information\n\nLocation(s): The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite. \n\nLocations: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA\n\nRemote Eligible: No\n\nCurrent remote employees will not be guaranteed to keep their remote status with their employing bank.\n\n## Salary\n\nSalary for St. Louis: $140,000 - $170,000\n\nThe listed salary is applicable to the Federal Reserve Bank of St. Louis. Final offers are determined by factors including the candidate’s qualifications, internal alignment considerations, district assignment, and geographic location. \n\n## Total Rewards\n\nBring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth—along with a wide range of benefits and perks that support your health, wealth, and life.\n\nIn addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance:\n\n- Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period\n- 401k\u002FThrift Plan with generous employer match\n- Employer-funded Pension Plan\n- Paid Vacation\u002FSick Time and Holidays\n- Flexible Spending Accounts and Healthcare Spending Accounts\n- Life Insurance and Long Term Disability Insurance\n- Tuition Reimbursement (undergraduate and graduate)\n- Parental Leave\n- Free onsite 24\u002F7 Fitness Center including training classes, and locker room \u002F shower facilities\n- Onsite Cafeteria and Coffee Shop\n- Additional Convenience Benefits, Discounts and More…\n\nAt the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture.\n\nThe Federal Reserve Bank of St Louis is an Equal Opportunity Employer. #LI-Onsite\n\nFull Time \u002F Part Time Full time\n\nRegular \u002F Temporary Regular\n\nJob Exempt (Yes \u002F No) Yes\n\nJob Category Information Technology\n\nFamily Group\n\nWork Shift First (United States of America)\n\nThe Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Always verify and apply to jobs on Federal Reserve System Careers (https:\u002F\u002Frb.wd5.myworkdayjobs.com\u002FFRS) or through verified Federal Reserve Bank social media channels.\n\n## Privacy Notice\n\nOUR BANK has one of the most recognizable brands around the world. The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations. The Federal Reserve is charged with the important mission of promoting a strong economy and a stable financial system and fulfills this responsibility by formulating national monetary policy, supervising and regulating banks and bank holding companies, and providing financial services for banks and the U.S. government.\n\nOUR PEOPLE are diverse in background and ideas, which allows for ongoing creativity and innovation. Ultimately, they are the ones who push our high-performance, exchange-driven culture forward.\n\nWhy Our People Choose Us:\n\n- Our reputation precedes us\n- There will always be room for personal growth\n- Our people are first\n- You’ll find the right balance\n- Your responsibilities will be meaningful\n\nWe hope that you will be our future colleague.\n\nAlways verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.\n\nPlease check back later for more information on available job opportunities.",{"ai":127,"aws":128,"sql":129,"postgresql":129,"machine learning":127,"data modeling tools":129,"cloud data platforms":129,"big data technologies":128,"data catalog platforms":128,"data warehousing tools":128,"distributed query engines":128,"metadata management platforms":128,"large-scale data processing systems":128},2,3,4,[40,41,42,43,44,45,46,47,48,49,50,51,52],{"communication":129,"collaboration":129,"influence":129,"consensus building":129,"conflict resolution":129,"leadership":129},[53,54,55,56,57,58],{"caching":129,"dataops":129,"encryption":129,"auditability":129,"data security":129,"access control":129,"data governance":129,"database design":129,"data engineering":129,"time-series data":128,"data architecture":129,"economic datasets":127,"public data access":127,"retention policies":129,"analytical datasets":128,"data classification":129,"data access patterns":129,"partitioning strategies":129,"data privacy regulations":129,"data integration patterns":129,"data lifecycle management":129,"data storage technologies":129,"research data environments":127},[59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81],{"detected_language_jobad":136,"required":137},"en",[138],[139],{"language":140,"level":141},"ENGLISH","C2",7,[144,145],"Information and Communications Technology Professionals","Database and Network Professionals",[144,145],"https:\u002F\u002Frb.wd5.myworkdayjobs.com\u002Fen-us\u002Ffrs\u002Fjob\u002Fst-louis-mo\u002Fresearch-platform-architect_r-0000031907-2","banking","Banking",1]