{"schemaVersion":"jobsearcher.job.v1","id":"188bec5b368a6e1fffcb8dfd","url":"https://jobsearcher.com/jobs/188bec5b368a6e1fffcb8dfd","canonicalUrl":"https://jobsearcher.com/jobs/188bec5b368a6e1fffcb8dfd","title":"Data Architect (DataOps)","description":"Location: Chantilly, VA\nSecurity Clearance: Active TS or higher [Required] Must be SCI Eligible\nJob Type: Full-Time\nTarget Salary Range*: $134,000 - $185,000\n\n*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary\n\nPosition Overview\n\nLead the design and management of the enterprise data environment to ensure information is accurate, connected, and ready to support advanced analytics and AI. Integrate traditional databases, modern data platforms, and semantic and knowledge-graph technologies to support data discovery and decision-making.\n\nEstablish data standards, ensure secure data sharing across environments, and collaborate with engineering and AI teams to maintain structured, governed, high-quality data.\n\nKey Responsibilities\nEnterprise Data Architecture\n\nDesign and maintain enterprise data architectures that integrate multiple data systems.\n\nEvaluate new technologies and recommend improvements to data platforms and processes.\n\nSemantic Technologies and Knowledge Graphs\n\nBuild and manage knowledge graphs, ontologies, and metadata structures to improve data context and discovery.\n\nProvide structured, contextual data to AI and analytics teams for model development and retrieval workflows.\n\nData Pipelines and Quality\n\nDevelop secure, well-governed data pipelines and processes that deliver high-quality, trusted data.\n\nEstablish organization-wide data governance, data quality, and metadata standards.\n\nSecure Data Sharing and Access\n\nEnsure data sharing and access comply with security, compliance, and zero-trust requirements.\n\nQualifications\nEducation\n\nBachelor’s degree. [Required]\n\nExperience\n\nMinimum of 10 years of experience in data architecture, data engineering, or related areas. [Required]\n\nStrong experience with enterprise data platforms, distributed systems, and modern data pipelines. [Required]\n\nExperience with metadata management, data lineage, and data governance processes. [Required]\n\nSkills\n\nFamiliarity with semantic technologies, including RDF, OWL, and SPARQL; ontologies; and knowledge graph design. [Required]\n\nKnowledge of cloud data services and secure data integrations across multiple environments. [Required]\n\nAbility to communicate complex technical concepts clearly to non-technical stakeholders. [Required]\n\nApplication Requirements\n\nIn-house custom-developed application.\n\nAdvanced AI, GenAI, and Multi-Model Engineering\n\nMulti-model and multi-modality orchestration involving reasoning, perception, memory, and tool execution.\n\nTemporal, spatial, geographic, quantitative, and computer vision AI implementation.\n\nNamed Entity Recognition (NER), contextual entity extraction, and resolution.\n\nMulti-step retrieval and structured output generation.\n\nComplex data parsing and streamlined ingestion.\n\nDeep source citation and traceable analytic outputs.\n\nData Architecture and ETL\n\nVector, graph, and multi-database orchestration.\n\nAutomated ETL pipeline creation, scheduling, and optimization.\n\nAttribute-Based Access Control (ABAC) at the data layer.\n\nProvenance and end-to-end data lineage tracking.\n\nSchema-aligned ingestion and normalization of diverse structured and unstructured data.\n\nEnterprise Infrastructure and Cross-Domain Solutions\n\nAir-gapped, hybrid, and on-premises operational environments.\n\nContainer orchestration and distributed systems management using Kubernetes.\n\nLocally hosted GPU servers and hyperconverged nodes.\n\nMultitenant Cross-Domain Solutions (CDS).\n\nApplication Development and Integration\n\nUI, backend, and middleware engineering using TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.\n\nIntegration of reasoning components, retrieval systems, databases, and AI / GenAI services.\n\nUse of modern programming languages and frameworks.\n\nPreferred Qualifications\n\nExperience supporting AI/ML teams, retrieval architectures, or vector-based search.\n\nBackground working in secure, multi-enclave, or zero-trust environments.\n\nExperience with streaming data, real-time processing, or hybrid cloud architectures.\n\nAdvanced degree in Computer Science, Information Science, Data Engineering, or a related field.","company":"Amatriot Group","rawCompany":"amatriot group","city":"Chantilly","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-10-16T10:41:30.519Z","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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Architect (DataOps)","description":"Location: Chantilly, VA\nSecurity Clearance: Active TS or higher [Required] Must be SCI Eligible\nJob Type: Full-Time\nTarget Salary Range*: $134,000 - $185,000\n\n*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary\n\nPosition Overview\n\nLead the design and management of the enterprise data environment to ensure information is accurate, connected, and ready to support advanced analytics and AI. Integrate traditional databases, modern data platforms, and semantic and knowledge-graph technologies to support data discovery and decision-making.\n\nEstablish data standards, ensure secure data sharing across environments, and collaborate with engineering and AI teams to maintain structured, governed, high-quality data.\n\nKey Responsibilities\nEnterprise Data Architecture\n\nDesign and maintain enterprise data architectures that integrate multiple data systems.\n\nEvaluate new technologies and recommend improvements to data platforms and processes.\n\nSemantic Technologies and Knowledge Graphs\n\nBuild and manage knowledge graphs, ontologies, and metadata structures to improve data context and discovery.\n\nProvide structured, contextual data to AI and analytics teams for model development and retrieval workflows.\n\nData Pipelines and Quality\n\nDevelop secure, well-governed data pipelines and processes that deliver high-quality, trusted data.\n\nEstablish organization-wide data governance, data quality, and metadata standards.\n\nSecure Data Sharing and Access\n\nEnsure data sharing and access comply with security, compliance, and zero-trust requirements.\n\nQualifications\nEducation\n\nBachelor’s degree. [Required]\n\nExperience\n\nMinimum of 10 years of experience in data architecture, data engineering, or related areas. [Required]\n\nStrong experience with enterprise data platforms, distributed systems, and modern data pipelines. [Required]\n\nExperience with metadata management, data lineage, and data governance processes. [Required]\n\nSkills\n\nFamiliarity with semantic technologies, including RDF, OWL, and SPARQL; ontologies; and knowledge graph design. [Required]\n\nKnowledge of cloud data services and secure data integrations across multiple environments. [Required]\n\nAbility to communicate complex technical concepts clearly to non-technical stakeholders. [Required]\n\nApplication Requirements\n\nIn-house custom-developed application.\n\nAdvanced AI, GenAI, and Multi-Model Engineering\n\nMulti-model and multi-modality orchestration involving reasoning, perception, memory, and tool execution.\n\nTemporal, spatial, geographic, quantitative, and computer vision AI implementation.\n\nNamed Entity Recognition (NER), contextual entity extraction, and resolution.\n\nMulti-step retrieval and structured output generation.\n\nComplex data parsing and streamlined ingestion.\n\nDeep source citation and traceable analytic outputs.\n\nData Architecture and ETL\n\nVector, graph, and multi-database orchestration.\n\nAutomated ETL pipeline creation, scheduling, and optimization.\n\nAttribute-Based Access Control (ABAC) at the data layer.\n\nProvenance and end-to-end data lineage tracking.\n\nSchema-aligned ingestion and normalization of diverse structured and unstructured data.\n\nEnterprise Infrastructure and Cross-Domain Solutions\n\nAir-gapped, hybrid, and on-premises operational environments.\n\nContainer orchestration and distributed systems management using Kubernetes.\n\nLocally hosted GPU servers and hyperconverged nodes.\n\nMultitenant Cross-Domain Solutions (CDS).\n\nApplication Development and Integration\n\nUI, backend, and middleware engineering using TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.\n\nIntegration of reasoning components, retrieval systems, databases, and AI / GenAI services.\n\nUse of modern programming languages and frameworks.\n\nPreferred Qualifications\n\nExperience supporting AI/ML teams, retrieval architectures, or vector-based search.\n\nBackground working in secure, multi-enclave, or zero-trust environments.\n\nExperience with streaming data, real-time processing, or hybrid cloud architectures.\n\nAdvanced degree in Computer Science, Information Science, Data Engineering, or a related field.","datePosted":"2026-10-16T10:41:30.519Z","dateModified":"2026-10-16T10:41:30.519Z","hiringOrganization":{"@type":"Organization","name":"Amatriot Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chantilly","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"188bec5b368a6e1fffcb8dfd"},"url":"https://jobsearcher.com/jobs/188bec5b368a6e1fffcb8dfd"}}