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PeratonPosted 1 week ago

Senior Data Architect

$135,000–$216,000 year

On-siteHerndon, Virginia, United States or Annapolis Junction, Maryland, United States

Full TimeSenior LevelDoctorate Or Professional DegreeEnterprise

Job Summary

Define the data backbone for advanced analytics and AI-enabled mission support by identifying, assessing, and prioritizing data sources for visualization and agentic workflows. Coordinate data acquisition across internal teams and program partners while defining approaches for data fusion, modernization, and pipeline readiness. Guide ETL and data preparation efforts to enable dashboards, analytics models, and downstream AI/ML use cases. Partner with systems and software teams to align data architecture with mission needs, addressing gaps, dependencies, and quality issues affecting program success. Serve as a senior data leader supporting the FAA BNATCS CTO to build a strong foundation for the Digital Command Center.

Required Qualifications

  • Minimum of 10+ w/ BS/BA, 8+ w/ MS/MA, or 5+ w/Ph.D. years of relevant experience in data engineering, software engineering, aerospace, systems engineering, systems/enterprise architecture, or related fields
  • Demonstrated experience with data identification, data acquisition, ETL, and multi-source data integration
  • Experience with advanced data analysis and data fusion
  • Familiarity with modern data capture, transformation, and preparation approaches that support advanced analytics
  • Ability to work across multiple teams and stakeholders to align data efforts with mission objectives
  • US Citizenship with ability to obtain/maintain an FAA Public Trust suitability
  • Must be local and able to commute to one of our following locations: Annapolis Junction, MD, Bowie, MD, or Herndon, VA

Desired Qualifications

  • Experience with synthetic data generation
  • Familiarity with FAA systems or aviation operational data environments
  • Experience supporting analytics platforms, dashboards, AI/ML pipelines, or decision-support systems
  • Knowledge of metadata, lineage, governance-aware data practices, or data architecture strategy
  • Experience with cloud data platforms, APIs, and modern data engineering ecosystems

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