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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect (Part-time) - **Company:** Amazon.com, Inc. - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $144,790.0 - $217,185.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Systems Engineering, Information Systems, Data Architecture, Information Engineering, Data Sharing, Dataspaces, Software Design Patterns, Linux, Enterprise Architecture Framework, Data Flow Control, Interoperability, NIPRNet, Zero Trust Network Access, Systems Architecture, Enterprise Data Management, Data Strategy, SC Clearance, Information Technology, Data Management, Machine Learning Operations, DODAF, Serverless Computing - **Published:** August 23, 2026 - **Apply:** https://www.careerjet.com/job/usb495e1c0840bac8bf98ff887b1fa8bf9/eaa ## About the Role · Bachelor's degree in computer science, information systems, engineering, data science, or a related technical field; equivalent directly relevant experience may be considered · Master's degree preferred, · Active Secret Clearance (TS preferred or eligible) · 10+ years of progressively responsible experience in data architecture, enterprise architecture, systems engineering, data engineering, or a related technical discipline · Demonstrated experience with DoD/DAF data ecosystems and mission systems · Hands-on experience developing and applying DoDAF architecture views required · Strong understanding of data interoperability, data sharing, and enterprise architecture frameworks · Experience conducting enterprise-level architecture or data readiness assessments · Familiarity with multi-domain/multi-enclave environments (e.g. NIPR/SIPR/JWICS) · Strong ability to communicate across technical teams and senior leadership Preferred Qualifications · Experience supporting DAF or wider DoW enterprise data platform initiatives · Familiarity with data maturity models and readiness assessment frameworks · Experience with AI/ML architecture, MLOps, or AI enablement strategies · Background in data mesh approaches, federated architectures, or Zero Trust-aligned data strategies · Experience engaging with DoD Data Platforms, Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and auto… + 30 days ago ## Description The Data Architect will work across mission owners, enterprise platforms, and technical delivery teams to develop reference architectures, DoDAF products, data architecture artifacts, and modernization recommendations. This is a strategic, hands-on role requiring an enterprise perspective and the ability to translate mission needs into actionable technical designs. The position is part-time (0.5 FTE). What You'll Do · Orchestrate enterprise-wide data and AI architecture alignment across Air and Space Force mission domains · Assess current-state environments and develop future-state and transition architectures · Align mission-critical AI use cases and operational requirements with authoritative data sources, enterprise services, and platform capabilities · Develop and maintain enterprise reference architectures, data architecture artifacts, technical standards, and DoDAF products · Map mission systems, data products, interfaces, data exchanges, dependencies, and consuming applications · Evaluate enterprise platforms, mission systems, and integration patterns supporting DAF Data and AI objectives · Identify and address architectural barriers affecting data sharing, interoperability, reuse, and AI enablement · Establish implementable architecture patterns for data mesh, federated environments, cloud-native services, APIs, and Zero Trust · Support architectural alignment across mission domains, enterprise platforms, classification levels, and operational enclaves · Translate complex technical environments, architecture decisions, risks, and dependencies into executive-level recommendations and actionable Agile delivery priorities · Collaborate with data engineers, platform teams, cybersecurity personnel, domain stakeholders, and governance organizations to ensure architectures are secure, implementable, and operationally relevant Required Education Candidates must meet one of the following combinations, · Enterprise data/AI alignment and guidance · Current-state, future-state, and transition architecture recommendations · Enterprise and domain reference architectures · DoDAF operational, system, service, and data-information views · Data architecture artifacts, standards, and implementation guidance · Authoritative data-source, data-flow, interface, and dependency mappings · Data-product, API, integration, and interoperability design patterns · Enterprise platform and mission-system architecture assessments · Prioritized modernization recommendations and implementation roadmaps · Actionable architecture inputs supporting Agile planning and delivery See Job Description, Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. 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