{"schemaVersion":"jobsearcher.job.v1","id":"d238961ee3268b4d8ee9e149","url":"https://jobsearcher.com/jobs/d238961ee3268b4d8ee9e149","canonicalUrl":"https://jobsearcher.com/jobs/d238961ee3268b4d8ee9e149","title":"Data Platform Architect","description":"Expression is seeking an experienced Data Platform Architect to provide architectural guidance, technical standards, and operational support for teams delivering secure, scalable data, analytics, and AI/ML solutions in mission environments.\n\nThe Data Platform Architect will work across engineering, data science, analytics, platform, and mission teams to guide implementation in Databricks and Palantir Foundry. This role will help delivery teams structure data pipelines, data products, analytics and ML workflows, and platform assets so solutions are consistent, reusable, governed, supportable, and production-ready.\n\nThe successful candidate will provide hands-on guidance spanning data integration, DataOps, DevOps, MLOps, governance, security, compliance, performance optimization, and platform operations while helping teams move solutions from prototypes into reliable production environments.\n\nClearance: Secret/Top Secret clearance required\nLocation: Falls Church, VA\n\nKey Responsibilities\n\nProvide hands-on architectural guidance to teams implementing data pipelines, analytics workflows, data products, and AI/ML capabilities in Databricks and Palantir Foundry.\nGuide selection and implementation of platform-native capabilities for data ingestion, transformation, orchestration, model execution, analytics, and data-product delivery.\nAdvise teams on appropriate use of Databricks, Foundry, and integrated cross-platform architectures.\nGuide the transition of prototypes and notebook-based solutions into reliable, maintainable production workflows.\nEstablish and maintain technical standards for project structure, code organization, pipeline design, workflow orchestration, testing, metadata, lineage, documentation, and platform implementation.\nDevelop reusable templates, reference architectures, and implementation patterns that improve consistency and accelerate delivery.\nPromote scalable approaches including medallion architecture, governed data publishing, reusable transformation logic, and shared analytics and ML components.\nConduct technical reviews and provide actionable guidance to improve scalability, maintainability, reliability, and supportability.\nGuide CI/CD implementation for jobs, pipelines, notebooks, packaged code, models, and data products.\nEstablish operational practices for deployment, environment promotion, monitoring, alerting, rollback, release management, observability, lineage, and data-quality validation.\nPromote reproducible MLOps practices for model training, validation, packaging, registration, deployment, monitoring, batch inference, and lifecycle management using MLflow, Databricks workflows, and related capabilities.\nDesign scalable ML inference approaches supporting production workloads and establish monitoring for model performance, data drift, and system health.\nSupport self-service ML capabilities that enable data scientists to efficiently deploy and monitor models.\nDefine integration patterns for onboarding data sources, managing schema evolution, and connecting Databricks and Foundry with enterprise systems, applications, data warehouses, streaming platforms, APIs, and BI tools.\nGuide implementation of secure access controls, governed data sharing, metadata management, data catalogs, lineage, traceability, and audit-ready workflows.\nEstablish data-quality standards and automated testing approaches for analytical and ML workloads.\nPartner with stakeholders to define data definitions, business logic, governance requirements, and compliant handling of structured and unstructured data.\nAdvise teams on Spark optimization, workload design, workflow dependencies, storage and compute utilization, and other platform-performance considerations.\nIdentify and help resolve architecture, integration, reliability, and performance issues affecting production jobs, data products, and operational analytics.\nDesign data models supporting machine learning, analytics, and business intelligence requirements, including integrations with Tableau, Power BI, and Qlik Sense.\nBuild and support integrations with MAVEN Smart Systems/Palantir Foundry environments and other enterprise systems.\nCollaborate with engineers, data scientists, BI analysts, product managers, platform and security teams, and mission stakeholders to align architecture decisions with delivery priorities.\nParticipate in design sessions, technical reviews, sprint activities, demonstrations, and cross-team problem solving.\nMaintain technical documentation supporting implementation consistency, reuse, operational handoff, and long-term supportability.\n\nRequired Qualifications\n\n5+ years of technical experience, including 3+ years designing or implementing production solutions on Databricks, Palantir Foundry, or similar modern data platforms.\nStrong experience with Python, SQL, PySpark, and Spark SQL for scalable data-processing workflows.\nExperience with Palantir Foundry or comparable enterprise analytics platforms, including pipeline development, governed data delivery, lineage, and operational analytics.\nExperience designing and operationalizing data pipelines, transformation workflows, and data products supporting structured and unstructured data.\nHands-on knowledge of Databricks platform capabilities such as Delta Lake, Workflows, MLflow, Unity Catalog, or similar platform-native services.\nFamiliarity with DataOps, DevOps, and MLOps practices, including CI/CD, version control, testing, deployment, monitoring, and operational support.\nStrong understanding of data quality, metadata management, lineage, access control, and governance within secure or regulated environments.\nExperience troubleshooting architecture, integration, performance, and operational issues across distributed data platforms.\nAbility to establish technical standards, guide architecture and implementation decisions, and clearly communicate technical concepts to technical and non-technical stakeholders.\n\nPreferred Qualifications\n\nDeep Databricks expertise, including medallion architecture, Delta optimization, workload tuning, cluster and job strategy, and production ML enablement.\nExperience implementing solutions in Palantir Foundry, including data-pipeline organization, governed data assets, operational workflows, and integrations.\nExperience with Git-based CI/CD pipelines, infrastructure and deployment tooling, and cloud-native platform services.\nExperience supporting the ML lifecycle, including model packaging, registration, deployment, monitoring, and inference-workflow integration.\nKnowledge of enterprise data integration, API-based data exchange, and secure cross-platform interoperability.\nExperience with Advana/MAVEN Smart System (Palantir Foundry) or similar DoD enterprise analytics environments.\nPrior experience supporting Department of Defense, Intelligence Community, or other Federal mission environments.\n\nBenefits:\n\nExpression offers competitive salaries and benefits, such as:\n\n401k matching\nPPO and HDHP medical/dental/vision insurance\nEducation reimbursement up to $10,000/yr\nComplimentary life insurance\nGenerous PTO and 11 days of holiday leave\nOnsite gym facility and trainer\nCommuter Benefits Plan\nIn-office Cold Brew Coffee\n\nAbout Expression:\n\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.\n\nWe make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.\n\nEqual Opportunity Employer/Veterans/Disabled\nExpression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.","company":"Expression","rawCompany":"expression","city":"Falls Church","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T10:55:03.730Z","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":"Data Platform Architect","description":"Expression is seeking an experienced Data Platform Architect to provide architectural guidance, technical standards, and operational support for teams delivering secure, scalable data, analytics, and AI/ML solutions in mission environments.\n\nThe Data Platform Architect will work across engineering, data science, analytics, platform, and mission teams to guide implementation in Databricks and Palantir Foundry. This role will help delivery teams structure data pipelines, data products, analytics and ML workflows, and platform assets so solutions are consistent, reusable, governed, supportable, and production-ready.\n\nThe successful candidate will provide hands-on guidance spanning data integration, DataOps, DevOps, MLOps, governance, security, compliance, performance optimization, and platform operations while helping teams move solutions from prototypes into reliable production environments.\n\nClearance: Secret/Top Secret clearance required\nLocation: Falls Church, VA\n\nKey Responsibilities\n\nProvide hands-on architectural guidance to teams implementing data pipelines, analytics workflows, data products, and AI/ML capabilities in Databricks and Palantir Foundry.\nGuide selection and implementation of platform-native capabilities for data ingestion, transformation, orchestration, model execution, analytics, and data-product delivery.\nAdvise teams on appropriate use of Databricks, Foundry, and integrated cross-platform architectures.\nGuide the transition of prototypes and notebook-based solutions into reliable, maintainable production workflows.\nEstablish and maintain technical standards for project structure, code organization, pipeline design, workflow orchestration, testing, metadata, lineage, documentation, and platform implementation.\nDevelop reusable templates, reference architectures, and implementation patterns that improve consistency and accelerate delivery.\nPromote scalable approaches including medallion architecture, governed data publishing, reusable transformation logic, and shared analytics and ML components.\nConduct technical reviews and provide actionable guidance to improve scalability, maintainability, reliability, and supportability.\nGuide CI/CD implementation for jobs, pipelines, notebooks, packaged code, models, and data products.\nEstablish operational practices for deployment, environment promotion, monitoring, alerting, rollback, release management, observability, lineage, and data-quality validation.\nPromote reproducible MLOps practices for model training, validation, packaging, registration, deployment, monitoring, batch inference, and lifecycle management using MLflow, Databricks workflows, and related capabilities.\nDesign scalable ML inference approaches supporting production workloads and establish monitoring for model performance, data drift, and system health.\nSupport self-service ML capabilities that enable data scientists to efficiently deploy and monitor models.\nDefine integration patterns for onboarding data sources, managing schema evolution, and connecting Databricks and Foundry with enterprise systems, applications, data warehouses, streaming platforms, APIs, and BI tools.\nGuide implementation of secure access controls, governed data sharing, metadata management, data catalogs, lineage, traceability, and audit-ready workflows.\nEstablish data-quality standards and automated testing approaches for analytical and ML workloads.\nPartner with stakeholders to define data definitions, business logic, governance requirements, and compliant handling of structured and unstructured data.\nAdvise teams on Spark optimization, workload design, workflow dependencies, storage and compute utilization, and other platform-performance considerations.\nIdentify and help resolve architecture, integration, reliability, and performance issues affecting production jobs, data products, and operational analytics.\nDesign data models supporting machine learning, analytics, and business intelligence requirements, including integrations with Tableau, Power BI, and Qlik Sense.\nBuild and support integrations with MAVEN Smart Systems/Palantir Foundry environments and other enterprise systems.\nCollaborate with engineers, data scientists, BI analysts, product managers, platform and security teams, and mission stakeholders to align architecture decisions with delivery priorities.\nParticipate in design sessions, technical reviews, sprint activities, demonstrations, and cross-team problem solving.\nMaintain technical documentation supporting implementation consistency, reuse, operational handoff, and long-term supportability.\n\nRequired Qualifications\n\n5+ years of technical experience, including 3+ years designing or implementing production solutions on Databricks, Palantir Foundry, or similar modern data platforms.\nStrong experience with Python, SQL, PySpark, and Spark SQL for scalable data-processing workflows.\nExperience with Palantir Foundry or comparable enterprise analytics platforms, including pipeline development, governed data delivery, lineage, and operational analytics.\nExperience designing and operationalizing data pipelines, transformation workflows, and data products supporting structured and unstructured data.\nHands-on knowledge of Databricks platform capabilities such as Delta Lake, Workflows, MLflow, Unity Catalog, or similar platform-native services.\nFamiliarity with DataOps, DevOps, and MLOps practices, including CI/CD, version control, testing, deployment, monitoring, and operational support.\nStrong understanding of data quality, metadata management, lineage, access control, and governance within secure or regulated environments.\nExperience troubleshooting architecture, integration, performance, and operational issues across distributed data platforms.\nAbility to establish technical standards, guide architecture and implementation decisions, and clearly communicate technical concepts to technical and non-technical stakeholders.\n\nPreferred Qualifications\n\nDeep Databricks expertise, including medallion architecture, Delta optimization, workload tuning, cluster and job strategy, and production ML enablement.\nExperience implementing solutions in Palantir Foundry, including data-pipeline organization, governed data assets, operational workflows, and integrations.\nExperience with Git-based CI/CD pipelines, infrastructure and deployment tooling, and cloud-native platform services.\nExperience supporting the ML lifecycle, including model packaging, registration, deployment, monitoring, and inference-workflow integration.\nKnowledge of enterprise data integration, API-based data exchange, and secure cross-platform interoperability.\nExperience with Advana/MAVEN Smart System (Palantir Foundry) or similar DoD enterprise analytics environments.\nPrior experience supporting Department of Defense, Intelligence Community, or other Federal mission environments.\n\nBenefits:\n\nExpression offers competitive salaries and benefits, such as:\n\n401k matching\nPPO and HDHP medical/dental/vision insurance\nEducation reimbursement up to $10,000/yr\nComplimentary life insurance\nGenerous PTO and 11 days of holiday leave\nOnsite gym facility and trainer\nCommuter Benefits Plan\nIn-office Cold Brew Coffee\n\nAbout Expression:\n\nFounded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.\n\nWe make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.\n\nEqual Opportunity Employer/Veterans/Disabled\nExpression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.","datePosted":"2026-08-22T10:55:03.730Z","dateModified":"2026-08-22T10:55:03.730Z","hiringOrganization":{"@type":"Organization","name":"Expression","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Falls Church","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d238961ee3268b4d8ee9e149"},"url":"https://jobsearcher.com/jobs/d238961ee3268b4d8ee9e149"}}