Data Architect, SME

Peraton • Herndon, VA

6d

About The Position

We are seeking a highly skilled and innovative Data Architect SME to join our team in the greater DMV area, supporting the Army National Guard.

Requirements

• Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.
• Clearance: Active TS/SCI clearance.
• Candidate must meet ONE of the following: Master’s degree or Ph.D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology, Software Engineering, or a related field; OR Relevant DoD/military training (example: Enterprise Architect (Advanced) Playlist); OR Relevant professional certification or equivalent experience (examples: CISSO, CISSP‑ISSAP, CISSP‑ISSEP, GCIA, GCLD, GCSA, GICSP).
• Data architecture, enterprise architecture, or systems engineering experience with at least 7 years leading data architecture for large or regulated organizations.
• Demonstrated expertise in data modeling, metadata management, MDM, data catalogs, ETL/ELT design, data lineage, and data quality frameworks.
• Hands‑on knowledge of integration patterns, APIs, messaging/streaming platforms, cloud data services (AWS/Azure/GCP), and analytics platforms.
• Strong understanding of RMF/ATO impacts on data flows, STIG/CVM implications, DoDAF artifact production, and audit/evidence requirements.
• Proven ability to produce decision‑grade data roadmaps, CONOPS, ROMs/COAs, and executive briefings; strong stakeholder facilitation skills.

Nice To Haves

• Expert certifications (preferred): CASP+, AWS Professional, or similar cloud/data professional credentials.
• Prior DoD/ARNG data architecture or enterprise program experience, and familiarity with Army force‑management and PPBE data domains.
• Experience implementing secure cross‑domain/data‑sharing solutions and enterprise data governance at scale.

Responsibilities

• Define enterprise data architecture reference models, integration patterns, data standards, and governance constructs to enable secure, scalable analytics and application ecosystems across cloud, hybrid, and distributed environments.
• Review and adjudicate enterprise data models, schemas, data flows, and modernization roadmaps to ensure alignment with Agile/DevSecOps, PDLC/SDLC, DoDAF, and DoD/Army policy frameworks.
• Advise senior leadership on ERP transitions, interoperability constraints, data quality risk, and architectural tradeoffs impacting Force Management, PPBE, GFM DI, and modeling & simulation initiatives.
• Integrate RMF controls, STIG/CVM considerations, DoDAF viewpoints, and auditability requirements into data architecture decisions and solution designs.
• Establish secure cross‑domain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability management workflows.
• Define enterprise data performance metrics, cataloging/taxonomy standards, master data management practices, and data lineage/traceability processes.
• Coordinate with system, application, cloud, and security teams to validate data interfacing, ETL/ELT pipelines, ingestion, normalization, and retention strategies.
• Produce architecture artifacts, decision packages, data roadmaps, and executive briefs to support portfolio modernization and funding decisions.
• Lead data architecture governance boards, mentor data engineering teams, and drive continuous improvement of data practices and tooling.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees