Data Architect (Part-Time)

Job Title: Data Architect (Part-Time)

Location: Remote

Clearance: DOD Secret Required


KeyLogic is seeking a Data Architect to support the Department of the Air Force (DAF) Chief Data and AI Office (CDAO) by leading enterprise architecture, systems engineering, and interoperability activities. This role will assess complex current-state environments and develop implementable future-state architectures that advance the DAF Data & AI strategies.

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:

· 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


Required Qualifications
· 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



What You’ll Deliver
· 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