{"schemaVersion":"jobsearcher.job.v1","id":"5833cc5cc65d006aec33136e","url":"https://jobsearcher.com/jobs/5833cc5cc65d006aec33136e","canonicalUrl":"https://jobsearcher.com/jobs/5833cc5cc65d006aec33136e","title":"Lead Data Architect","description":"Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes.\nWe are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy.\nLead Data Architect\nLocation: Suitland, MD (Hybrid)\nTerms: Full-time\nClearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required\nSalary Range: $160-225k DOE\nTravel: %\nProject Description\nThis position supports Revolutional's federal customer as part of an application transformation and modernization initiative.\nThis program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization.\nThe core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations.\nPosition Description\nAs a Lead Data Architect at Revolutional, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program.\nYou will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise.\nThis role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations.\nResponsibilities\nProvide technical leadership across enterprise data architecture efforts within a large-scale modernization program\nDesign and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms\nDefine and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches\nOversee data management, integration, quality, lineage, storage, retention, and governance processes across systems\nEstablish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements\nDesign and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities\nSupport real-time and streaming architectures using event-driven processing and distributed messaging systems\nDesign and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs)\nSupport AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF\nCollaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions\nEnsure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards\nLead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms\nImplement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements\nSupport operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M)\nEstablish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams\nMentor architects and engineering teams while promoting consistency, governance, and technical excellence\nTechnical Environment\nCloud-native data platforms (AWS, Azure)\nData lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems\nBig data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow)\nAPIs, event-driven architectures, and distributed integration platforms\nETL/ELT pipelines and large-scale data processing frameworks\nMLOps, AI/ML-enabled analytics, and model deployment environments\nInfrastructure-as-Code and automation tools (Terraform)\nDevSecOps pipelines and CI/CD automation frameworks\nData governance, metadata, lineage, and catalog platforms\nAgile and scaled Agile (SAFe) delivery environments\nDelivery and collaboration platforms (Git, Jira, Confluence)\nWhat You Bring (Requirements)\nBaseline Requirements\nU.S. Citizenship with the ability to obtain a Public Trust\n10–14+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives\nProven experience designing enterprise data architectures for large-scale, distributed systems environments\nExperience operating within Agile and SAFe/scaled Agile delivery frameworks\nAbility to obtain and maintain a Public Trust clearance\nTechnical Capabilities\nStrong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms\nExperience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures\nExperience implementing metadata management, lineage, catalogs, and governance frameworks\nExperience with system-of-systems integration, APIs, interface management, and distributed architectures\nExperience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance\nExperience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake\nExperience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks\nExperience with cloud-native data services across AWS and Azure environments\nExperience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation\nStrong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support\nExperience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms\nExperience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems\nCore Strengths\nStrategic thinker capable of translating mission and business requirements into scalable enterprise data architectures\nStrong ownership mindset with accountability for architecture, governance, and operational outcomes\nAbility to influence technical direction across engineering, analytics, architecture, and operational teams\nStrong decision-making skills balancing modernization goals, operational realities, and compliance requirements\nEffective communication across technical, operational, and executive stakeholders\nAbility to coordinate delivery and governance across complex, multi-team, multi-contractor environments\nNice to Have (Differentiators)\nCertifications in cloud data platforms, big data technologies, or enterprise architecture frameworks\nExperience supporting statistical and similarly large-scale federal modernization programs\nExperience with large-scale real-time analytics or event-streaming environments\nExperience implementing enterprise AI governance or advanced analytics frameworks\nExperience supporting DataOps or platform engineering initiatives\n#DICE #Linkedin\n___________________________________________________________________________________________________________\nHere at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include:\nRecognized as a Top 20 \"Best Place to Work in Virginia\"\nRecipient of Department of Labor's HireVets Gold Medallion\nGreat Place to Work Certification for five years running\nA Virginia Chamber of Commerce Fantastic 50 company\nA Northern Virginia Technology Council Tech 100 company\nInc. 5000 list of fastest growing companies for eleven years\nTwo-time SBA SBIR Tibbett's Award winner\nVirginia Values Veterans (V3) Certification\nWe recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to\nTraditional and HSA- eligible medical insurance plans\n100% employer-paid dental and vision insurance options\n100% employer-sponsored STD, LTD, and life insurance\n5% 401(k) company matching\nFlexible-schedules and teleworking options\nPaid holidays and PTO Accrual Plans\nPaid Parental Leave\nProfessional development and career growth opportunities\nTeam and company-wide events, recognition, and appreciation\n- and so much more!\nCheck out our Revolutional | LinkedIn to find out a little more about who we are and if we are the right next step for your career!\nRevolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact HR@revolutional.com.","company":"Revolutional","rawCompany":"revolutional","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T19:35:03.572Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Architect","description":"Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes.\nWe are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy.\nLead Data Architect\nLocation: Suitland, MD (Hybrid)\nTerms: Full-time\nClearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required\nSalary Range: $160-225k DOE\nTravel: %\nProject Description\nThis position supports Revolutional's federal customer as part of an application transformation and modernization initiative.\nThis program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization.\nThe core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations.\nPosition Description\nAs a Lead Data Architect at Revolutional, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program.\nYou will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise.\nThis role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations.\nResponsibilities\nProvide technical leadership across enterprise data architecture efforts within a large-scale modernization program\nDesign and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms\nDefine and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches\nOversee data management, integration, quality, lineage, storage, retention, and governance processes across systems\nEstablish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements\nDesign and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities\nSupport real-time and streaming architectures using event-driven processing and distributed messaging systems\nDesign and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs)\nSupport AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF\nCollaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions\nEnsure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards\nLead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms\nImplement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements\nSupport operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M)\nEstablish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams\nMentor architects and engineering teams while promoting consistency, governance, and technical excellence\nTechnical Environment\nCloud-native data platforms (AWS, Azure)\nData lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems\nBig data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow)\nAPIs, event-driven architectures, and distributed integration platforms\nETL/ELT pipelines and large-scale data processing frameworks\nMLOps, AI/ML-enabled analytics, and model deployment environments\nInfrastructure-as-Code and automation tools (Terraform)\nDevSecOps pipelines and CI/CD automation frameworks\nData governance, metadata, lineage, and catalog platforms\nAgile and scaled Agile (SAFe) delivery environments\nDelivery and collaboration platforms (Git, Jira, Confluence)\nWhat You Bring (Requirements)\nBaseline Requirements\nU.S. Citizenship with the ability to obtain a Public Trust\n10–14+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives\nProven experience designing enterprise data architectures for large-scale, distributed systems environments\nExperience operating within Agile and SAFe/scaled Agile delivery frameworks\nAbility to obtain and maintain a Public Trust clearance\nTechnical Capabilities\nStrong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms\nExperience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures\nExperience implementing metadata management, lineage, catalogs, and governance frameworks\nExperience with system-of-systems integration, APIs, interface management, and distributed architectures\nExperience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance\nExperience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake\nExperience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks\nExperience with cloud-native data services across AWS and Azure environments\nExperience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation\nStrong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support\nExperience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms\nExperience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems\nCore Strengths\nStrategic thinker capable of translating mission and business requirements into scalable enterprise data architectures\nStrong ownership mindset with accountability for architecture, governance, and operational outcomes\nAbility to influence technical direction across engineering, analytics, architecture, and operational teams\nStrong decision-making skills balancing modernization goals, operational realities, and compliance requirements\nEffective communication across technical, operational, and executive stakeholders\nAbility to coordinate delivery and governance across complex, multi-team, multi-contractor environments\nNice to Have (Differentiators)\nCertifications in cloud data platforms, big data technologies, or enterprise architecture frameworks\nExperience supporting statistical and similarly large-scale federal modernization programs\nExperience with large-scale real-time analytics or event-streaming environments\nExperience implementing enterprise AI governance or advanced analytics frameworks\nExperience supporting DataOps or platform engineering initiatives\n#DICE #Linkedin\n___________________________________________________________________________________________________________\nHere at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include:\nRecognized as a Top 20 \"Best Place to Work in Virginia\"\nRecipient of Department of Labor's HireVets Gold Medallion\nGreat Place to Work Certification for five years running\nA Virginia Chamber of Commerce Fantastic 50 company\nA Northern Virginia Technology Council Tech 100 company\nInc. 5000 list of fastest growing companies for eleven years\nTwo-time SBA SBIR Tibbett's Award winner\nVirginia Values Veterans (V3) Certification\nWe recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to\nTraditional and HSA- eligible medical insurance plans\n100% employer-paid dental and vision insurance options\n100% employer-sponsored STD, LTD, and life insurance\n5% 401(k) company matching\nFlexible-schedules and teleworking options\nPaid holidays and PTO Accrual Plans\nPaid Parental Leave\nProfessional development and career growth opportunities\nTeam and company-wide events, recognition, and appreciation\n- and so much more!\nCheck out our Revolutional | LinkedIn to find out a little more about who we are and if we are the right next step for your career!\nRevolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact HR@revolutional.com.","datePosted":"2026-08-03T19:35:03.572Z","dateModified":"2026-08-03T19:35:03.572Z","hiringOrganization":{"@type":"Organization","name":"Revolutional","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5833cc5cc65d006aec33136e"},"url":"https://jobsearcher.com/jobs/5833cc5cc65d006aec33136e"}}