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Peraton

Runs and secures technology for federal agencies

Enterprise Data Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeHerndon, VA, USAIn-person

About the Job

Requirements

  • At least 12 years of experience with a bachelor's degree, 10 years with a master's degree, 7 years with a Ph.D., or 16 years in lieu of a degree.
  • U.S. citizenship and the ability to obtain or maintain a public trust clearance are required.
  • Proficiency in relational, dimensional, and graph data modeling, including conceptual, logical, and physical modeling.
  • Deep experience with data modeling tools such as ERwin, Sparx EA, PowerDesigner, or equivalent tools.
  • Demonstrated experience with data governance frameworks and master data management.
  • Working knowledge of aviation data exchange formats such as SWIM, FIXM, and AIXM, or comparable domain-specific exchange standards such as HL7 or ISO 20022, with a plan for aviation ramp-up.
  • Experience designing data integration patterns, including ETL/ELT, streaming with Kafka or Kinesis, event-driven integration, and change data capture, for high-volume operational data.
  • Experience with cloud data platforms such as AWS GovCloud or Azure Government and platforms such as Redshift, Glue, Athena, Snowflake, or Databricks, or equivalents.
  • Experience defining data dictionaries, metadata catalogs, and lineage tracking.

Responsibilities

  • Develop and maintain conceptual, logical, and physical canonical data models for BNATCS domain areas, and enforce naming, typing, and semantic conventions across NEEDS package teams.
  • Define and steward the enterprise data governance framework, including data ownership, stewardship roles, quality standards, retention, and lifecycle management.
  • Design data integration patterns, including ETL/ELT, streaming, event-driven, and request-reply patterns, for cross-package data flows and adjacent NAS system interfaces.
  • Enforce aviation data exchange format compliance for SWIM, FIXM, AIXM, WXXM, and ASTERIX across domain teams, and review interface payloads for schema conformance.
  • Produce data architecture artifacts for current active applicable NEEDS package systems, including data dictionaries, metadata catalogs, data flow diagrams, entity-relationship models, and canonical schemas.
  • Establish and operate a master data management capability for shared reference data, including facilities, sites, CIPs, JCNs, systems, and personnel roles.
  • Define data quality metrics, monitoring, and remediation workflows, and establish data quality gates for ingestion into shared analytical environments.
  • Design analytical data architecture, including data lake or lakehouse patterns, warehouse structures, and curated data products, to support the Digital Command Center and Knowledge Base Expansion.
  • Partner with the SW and Data Architects on data aspects of ICDs, including payload schemas, semantic contracts, versioning strategy, and 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, including data model maturity, exchange format compliance, and integration effort estimates.

Desired Qualifications

  • FAA or DoD data architecture experience.
  • Direct experience with SWIM/NEMS interface design, JMSDD authoring, or SWIM Content Filtering.
  • Experience with data catalog and lineage tools such as Collibra, Alation, Informatica EDC, DataHub, Apache Atlas, or Purview.
  • Background in operational data stores supporting real-time decision support systems, including latency, freshness, and consistency trade-offs.
  • Familiarity with knowledge graphs, ontology development, or semantic web technologies such as RDF, OWL, SHACL, and SPARQL, relevant to DNA and MBSE integration.
  • Experience with model-based systems engineering or architecture modeling tools such as Cameo, Sparx EA, or 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 handling in federal environments.
  • Relevant certifications such as CDMP, TOGAF, or DAMA-DMBOK-aligned credentials.

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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