Lead Data Architect - Aviation Analytics

Peraton • Annapolis Junction, MD

20h

About The Position

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.

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.

Nice To Haves

• 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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees