Aviation Analytics Data Architect: AI-Driven Data Backbone

Peraton; Herndon (AR); On-site; USD 135,000 - 216,000; Full time

Job summary

Peraton Labs seeks a Senior Data Architect - Aviation Analytics to spearhead data strategy and architecture for FAA BNATCS CTO initiatives. You will shape the data backbone, ensure accessible, high-quality data, and support analytics, dashboards, and AI-enabled workflows across multiple streams.

The role requires leadership in multi-domain data environments, experience with ETL and data fusion, and ability to coordinate across internal teams and partners.

Qualifications

• Minimum educational and experience requirements: 10+ years with BS/BA, 8+ with MS/MA, or 5+ with Ph.D. in data engineering, software engineering, aerospace, systems/enterprise architecture, or related fields.
• Experience with data identification, data acquisition, ETL, and multi-source data integration.
• Familiarity with data fusion and modern data capture/ preparation approaches.

Responsibilities

• Support data strategy and execution for DCC and CTO-driven capabilities.
• Identify, assess, and prioritize data sources for analytics, visualization, and AI workflows.
• Coordinate data acquisition across internal teams, stakeholders, and partners.
• Define data fusion and modernization approaches for data capture and pipelines.
• Guide ETL and data preparation for dashboards, analytics models, and AI/ML use cases.
• Collaborate with systems, software, and analytics teams to align data architecture with mission needs.
• Identify data gaps, dependencies, quality issues, and integration challenges.

Skills

Data engineering

Software engineering

Aerospace

Systems engineering

Enterprise architecture

ETL

Data fusion

Cross-team collaboration

Data identification

Education

BS/BA degree

MS/MA degree

PhD degree

Tools

Cloud data platforms

APIs

Data integration tools

Job description

Peraton Labs seeks a Senior Data Architect - Aviation Analytics to spearhead data strategy and architecture for FAA BNATCS CTO initiatives. You will shape the data backbone, ensure accessible, high-quality data, and support analytics, dashboards, and AI-enabled workflows across multiple streams.

The role requires leadership in multi-domain data environments, experience with ETL and data fusion, and ability to coordinate across internal teams and partners.