At Peraton, you won’t just support the mission—you’ll help define it.
Enterprise Data Architect
Location: Herndon, VA
Defines enterprise data architecture, canonical data models, aviation data exchange standards compliance, data integration patterns, data governance frameworks, and cross-package data flow architecture for BNATCS. Owns the authoritative data models and integration patterns that enable NEEDS package systems to exchange information reliably, securely, and in conformance with FAA aviation data standards.
This role complements the existing SW & Data Architect positions by providing dedicated depth on data modeling, aviation exchange formats, master data management, and data integration engineering — freeing the SW & Data Architects to focus on software, cloud, and pipeline architecture.
Key Responsibilities
Develop and maintain canonical data models (conceptual, logical, physical) for BNATCS domain areas and enforce naming, typing, and semantic conventions across NEEDS package teams
Define and steward the enterprise data governance framework — data ownership, stewardship roles, quality standards, retention, and lifecycle management
Design data integration patterns (ETL/ELT, streaming, event-driven, request-reply) for cross-package data flows and adjacent NAS system interfaces
Enforce aviation data exchange format compliance — SWIM, FIXM, AIXM, WXXM, ASTERIX — across domain teams; review interface payloads for schema conformance
Produce data architecture artifacts for current active applicable NEEDS package systems — data dictionaries, metadata catalogs, data flow diagrams, entity-relationship models, canonical schemas
Establish and operate a master data management (MDM) capability for shared reference data (facilities, sites, CIPs, JCNs, systems, personnel roles)
Define data quality metrics, monitoring, and remediation workflows; establish data quality gates for ingestion into shared analytical environments
Design analytical data architecture — data lake / lakehouse patterns, warehouse structures, curated data products — supporting the Digital Command Center and Knowledge Base Expansion
Partner with the SW & Data Architects on the data side of ICDs — payload schemas, semantic contracts, versioning strategy, backward-compatibility rules — while software architects own transport, security, and API structure
Support MBSE / DNA integration by aligning canonical data models to UAF DIV-2 / DIV-3 artifacts and the DNA knowledge graph ontology
Support procurement trade studies with data architecture evaluation criteria (data model maturity, exchange format compliance, integration effort estimates)
Qualifications
Required Qualifications
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D., 16 years in lieu of a degree
US Citizenship and the ability to obtain/maintain a public trust clearance
Proficiency in relational, dimensional, and graph data modeling; conceptual/logical/physical modeling discipline
Deep experience with data modeling tools (ERwin, Sparx EA, PowerDesigner, or equivalent)
Demonstrated experience with data governance frameworks and master data management
Working knowledge of aviation data exchange formats — SWIM, FIXM, AIXM — or comparable domain-specific exchange standards (HL7, ISO 20022) with a plan for aviation ramp-up
Experience designing data integration patterns — ETL/ELT, streaming (Kafka, Kinesis), event-driven, CDC — for high-volume operational data
Experience with cloud data platforms (AWS GovCloud, Azure Government) — Redshift, Glue, Athena, Snowflake, Databricks, or equivalents
Experience defining data dictionaries, metadata catalogs, and lineage tracking
FAA or DoD data architecture experience preferred
Preferred Qualifications
Direct experience with SWIM / NEMS interface design, JMSDD authoring, or SWIM Content Filtering
Experience with data catalog and lineage tools (Collibra, Alation, Informatica EDC, DataHub, Apache Atlas, Purview)
Background in operational data stores supporting real-time decision support systems — latency, freshness, and consistency trade-offs
Familiarity with knowledge graphs, ontology development, or semantic web technologies (RDF, OWL, SHACL, SPARQL) — relevant for DNA and MBSE integration
Experience with model-based systems engineering (MBSE) or architecture modeling tools (Cameo, Sparx EA, Archi) — particularly UAF DIV / SV-6 data artifacts
Experience with data virtualization, data mesh, or data product architectures
Familiarity with data privacy, information classification, and controlled unclassified information (CUI) handling in federal environments
Relevant certifications such as CDMP (Certified Data Management Professional), TOGAF, or DAMA-DMBOK-aligned credentials
#BNATCS
Target Salary Range $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
- EEO
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
