Lead Data Architect - Aviation Analytics
Role details
Job location
Tech stack
Job description
Peraton Labs is seeking a Lead 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: Lead 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.
Requirements
- Minimum of 12+ years of relevant experience in data engineering, software engineering, aerospace, systems engineering, systems/enterprise architecture, or related fields
- Experience leading data-focused initiatives in complex technical or operational environments
- 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