{"schemaVersion":"jobsearcher.job.v1","id":"04d9df240c45c6bec16c0a2f","url":"https://jobsearcher.com/jobs/04d9df240c45c6bec16c0a2f","canonicalUrl":"https://jobsearcher.com/jobs/04d9df240c45c6bec16c0a2f","title":"Lead Data Architect","description":"Overview\nAs Lead Data Architect at Peraton, you will shape enterprise data strategy for a federal modernization program. You’ll build and govern scalable data ecosystems—lakehouse, data warehouses, and streaming pipelines—across multiple teams and vendors. Your work enables secure, high-volume analytics and AI/ML integration in a cloud-native, data-centric environment. This role combines architecture leadership with governance, DevSecOps, and SAFe-aligned delivery to drive measurable program outcomes.\n\nCompensation / Benefitsdiscretionary bonusovertime eligibilityshift differentialbase paytraining and certifications possiblehealth/dental/vision benefits\nResponsibilitiesProvide technical leadership across enterprise data architecture efforts within a large-scale modernization programDesign and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platformsDefine and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approachesOversee data management, integration, quality, lineage, storage, retention, and governance processes across systemsEstablish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirementsDesign and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilitiesSupport real-time and streaming architectures using event-driven processing and distributed messaging systemsDesign and oversee APIs, system interconnections, interface management processes, and ICDsSupport AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMFCollaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutionsEnsure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standardsLead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platformsImplement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvementsSupport operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M)Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teamsMentor architects and engineering teams while promoting consistency, governance, and technical excellence\nKey requirements10+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiativesProven experience designing enterprise data architectures for large-scale, distributed systems environmentsExperience operating within Agile and SAFe/scaled Agile delivery frameworksStrong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platformsExperience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architecturesExperience implementing metadata management, lineage, catalogs, and governance frameworksExperience with system-of-systems integration, APIs, interface management, and distributed architecturesExperience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governanceExperience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and SnowflakeExperience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworksExperience with cloud-native data services across AWS and Azure environmentsExperience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automationStrong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO supportExperience with FinOps, cloud cost optimization, and performance tuning of enterprise data platformsExperience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systemscollaboration across cross-functional teamsstrong communication with technical and non-technical stakeholdersmentorship and leadership of engineering teamsSparkKafkaAirflow","company":"Peraton","rawCompany":"peraton","city":"Laurel","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-22T04:09:11.139Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Overview\nAs Lead Data Architect at Peraton, you will shape enterprise data strategy for a federal modernization program. You’ll build and govern scalable data ecosystems—lakehouse, data warehouses, and streaming pipelines—across multiple teams and vendors. Your work enables secure, high-volume analytics and AI/ML integration in a cloud-native, data-centric environment. This role combines architecture leadership with governance, DevSecOps, and SAFe-aligned delivery to drive measurable program outcomes.\n\nCompensation / Benefitsdiscretionary bonusovertime eligibilityshift differentialbase paytraining and certifications possiblehealth/dental/vision benefits\nResponsibilitiesProvide technical leadership across enterprise data architecture efforts within a large-scale modernization programDesign and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platformsDefine and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approachesOversee data management, integration, quality, lineage, storage, retention, and governance processes across systemsEstablish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirementsDesign and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilitiesSupport real-time and streaming architectures using event-driven processing and distributed messaging systemsDesign and oversee APIs, system interconnections, interface management processes, and ICDsSupport AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMFCollaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutionsEnsure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standardsLead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platformsImplement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvementsSupport operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M)Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teamsMentor architects and engineering teams while promoting consistency, governance, and technical excellence\nKey requirements10+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiativesProven experience designing enterprise data architectures for large-scale, distributed systems environmentsExperience operating within Agile and SAFe/scaled Agile delivery frameworksStrong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platformsExperience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architecturesExperience implementing metadata management, lineage, catalogs, and governance frameworksExperience with system-of-systems integration, APIs, interface management, and distributed architecturesExperience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governanceExperience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and SnowflakeExperience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworksExperience with cloud-native data services across AWS and Azure environmentsExperience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automationStrong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO supportExperience with FinOps, cloud cost optimization, and performance tuning of enterprise data platformsExperience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systemscollaboration across cross-functional teamsstrong communication with technical and non-technical stakeholdersmentorship and leadership of engineering teamsSparkKafkaAirflow","datePosted":"2026-09-22T04:09:11.139Z","dateModified":"2026-09-22T04:09:11.139Z","hiringOrganization":{"@type":"Organization","name":"Peraton","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Laurel","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"04d9df240c45c6bec16c0a2f"},"url":"https://jobsearcher.com/jobs/04d9df240c45c6bec16c0a2f"}}