Senior Data Architect

Peraton

$135K — $216K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years with BS/BA, 8+ years with MS/MA, or 5+ years with Ph.D. in data engineering, aerospace, systems engineering, or related fields
  • Experience with data acquisition, ETL processes, and multi-source data integration
  • Skilled in advanced data analysis and fusion techniques
  • Familiarity with contemporary methods of data capture and transformation
  • Adept at collaborating across teams to align data strategies with mission objectives
  • US Citizenship with ability to obtain FAA Public Trust clearance
  • Local to the Washington, D.C. metro area (Annapolis Junction, Bowie, Herndon)

Responsibilities

  • Support the data strategy and execution for Digital Command Center (DCC) initiatives
  • Identify and assess essential data sources for analytics, visualization, and AI workflows
  • Coordinate data acquisition efforts among internal teams and partners
  • Define improvements for data fusion and modernize data capture techniques
  • Lead ETL and data preparation tasks for analytics and AI models
  • Collaborate with systems, software, and analytics teams to align data architecture
  • Identify data gaps and quality issues impacting program success

Benefits

  • Flexible work environment
  • Comprehensive health insurance plans
  • 401(k) retirement savings plan
  • Professional development and training opportunities
  • Paid time off and holidays
Full Job Description
Responsibilities

Peraton Labs is seeking a Senior Data Architect - Aviation Analytics to support FAA BNATCS CTO in identifying, acquiring, modernizing, integrating, and operationalizing data required for advanced analytics, visualization, and agentic AI-enabled workflows. This role will serve as a senior data leader across FAA BNATCS and Peraton Labs data streams and will help ensure that the Digital Command Center (DCC) is built on a strong data foundation. The ideal candidate combines strategic data leadership with practical experience in multi-domain data environments, ETL, and data fusion.

 

Within this role you will define the data backbone behind advanced analytics and AI-enabled mission support. You will play a critical role in ensuring the right data is available, usable, and ready to support highly visible capabilities that inform decision-making and modernization at scale.

 

Key responsibilities may include:

  • Support data strategy and execution supporting DCC and CTO-driven capabilities
  • Identify, assess, and prioritize data sources needed to support analytics, visualization, and AI-enabled workflows
  • Coordinate data acquisition efforts across internal teams, stakeholders, and program partners
  • Define and improve approaches for data fusion, modernization of data capture, and data pipeline readiness
  • Guide ETL and data preparation efforts needed to support dashboards, analytics models, and downstream AI/ML use cases
  • Partner with systems, software, and analytics teams to align data architecture with mission needs
  • Help identify data gaps, dependencies, quality issues, and integration challenges affecting program success.
Qualifications

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
Target Salary Range$135,000 - $216,000. 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.

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