Data Architect

Overview As a Data Architect for NCIS, you design and govern secure, scalable data architectures that enable investigative, intelligence, and operational missions. You’ll lead enterprise data modeling and standards, support cloud transition to a DON-approved Azure environment, and ensure DoD data policy compliance. You will collaborate with cross-functional teams to enable analytics, ML, and reporting while maintaining data governance and security across classified and unclassified domains. This role offers impact in supporting law enforcement and national security missions. Compensation / Benefitscomprehensive benefits programhealthcare benefitspaid leaveretirement plansinsurance programseducation and training assistance ResponsibilitiesDesign and maintain enterprise data architectures for NCIS missionsDevelop conceptual, logical, and physical data models for varied data typesEstablish data standards and interoperability frameworks (including NIEM Open)Architect cloud-native and hybrid data solutions across on-prem and DON VPC environmentsImplement data governance including stewardship, metadata, and quality controlsEnsure compliance with CJIS, NIST, FISMA, FedRAMP, Privacy Act, CUI, and DoD/DON policiesDesign secure data access controls using least privilege, encryption, masking, and DLPSupport data integration strategies (data lakes, warehouses, federation, real-time exchange)Maintain enterprise data catalog for discoverability and governanceCollaborate with data engineering/science teams to support ML and analyticsOptimize data platform performance via indexing, partitioning, and scalable cloud architecturesProduce architecture artifacts, diagrams, and technical documentationAdvise government leadership on enterprise architecture initiativesOperate within secure facilities (SCIFs) and coordinate with stakeholders Key requirementsActive Top Secret clearance with eligibility for SCI accessAbility to obtain SCI adjudication within six monthsWillingness to sign NDAsMinimum 10 years in data architecture, data management, or enterprise data engineeringProven experience with enterprise-scale architectures in regulated or classified environmentsHands-on experience with hybrid cloud and cloud-native architectures (Azure preferred)Experience integrating data across multiple systems, agencies, and security domainsStrong knowledge of data modeling, metadata management, data catalogs, and data governanceFamiliarity with NIEM, CJIS, NIST, and DoD data standardsStrong documentation, briefing, and stakeholder communication skillsPreferred: AWS and Azure data services experience, ML/analytics platform supportZero Trust data access knowledgeDoD/DON data strategies familiarityAbility to work in secure, cross-agency environmentscollaborationclear communication with stakeholdersdocumentation and briefingData modeling (conceptual, logical, physical)Enterprise data architecture frameworksData lakes and data warehouses