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Hybrid Data Architect / Engineer at Noblis

Noblis · Washington, Washington, DC, US, United States Of America · Hybrid

$63,600.00  -  $193,750.00

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Responsibilities:

Position Overview: 

We are seeking a highly skilled Data Architect / Data Engineer to support the design, development, and governance of mission-critical data infrastructure for the FAA’s next-generation air traffic control (ATC) systems. This role will be instrumental in modernizing how the National Airspace System (NAS) leverages real-time and historical data to enhance safety, efficiency, and system resilience. 

You will design end-to-end data architectures, define authoritative sources, implement high-performance data flows, and collaborate with cross-disciplinary teams to ensure data solutions support the FAA’s operational, regulatory, and cybersecurity requirements. 

Key Responsibilities: 

Data Architecture & Design 

  • Design and implement scalable, resilient, and secure enterprise data architectures to support real-time and asynchronous data needs for ATC systems such as STARS, ERAM, and NAS-wide services. 
  • Define and document data schemas, data flows, and system integration points using FAA standards and best practices. 
  • Align data solutions with FAA data strategies, including identification of authoritative data sources, metadata standards, and information lifecycle policies. 
  • Evaluate and implement data storage, processing, and transformation pipelines, balancing performance, availability, latency, and compliance requirements. 

 

Data Modeling & Engineering 

  • Develop and maintain logical and physical data models tailored to ATM operations, surveillance data, weather feeds, traffic flow, and flight plan data. 
  • Create and manage data dictionaries, entity-relationship diagrams, semantic models, and API definitions for structured and unstructured data assets. 
  • Build ETL/ELT processes, streaming data pipelines, and batch workflows using modern tools (e.g., Apache Kafka, Spark, Airflow, AWS Glue, or similar). 
  • Implement robust data quality, lineage, and governance practices to ensure integrity and traceability of operational datasets. 

 

System & Domain Integration 

  • Collaborate with system architects, software engineers, cybersecurity teams, and FAA stakeholders to ensure alignment between data architecture and end-to-end system design. 
  • Understand the ATM domain, including flight operations, traffic management, decision support systems, and FAA data exchange platforms (e.g., SWIM, TFMS, TBFM). 
  • Support integration of legacy systems with modern cloud-native or containerized solutions using API gateways, data adapters, and interoperability frameworks. 

 

Performance, Security & Lifecycle Management 

  • Define data performance requirements, including throughput, latency, and availability metrics, especially for safety-critical applications. 
  • Ensure compliance with FAA cybersecurity standards (e.g., NIST 800-53, Zero Trust principles) and support data encryption, access control, and auditability. 
  • Participate in the full data lifecycle, from acquisition and storage to retention, archival, and decommissioning, in accordance with FAA governance and AMS requirements. 
Required Qualifications:

Required Qualifications: 

  • U.S. Citizen or Green Card Holder (3+ years U.S. residency). 
  • Proven experience in: 
  • Enterprise data architecture and modeling 
  • Schema design, data pipelines, and integration frameworks 
  • Data engineering technologies (e.g., SQL, Python, Spark, Kafka, cloud-native tools) 
  • Metadata management, data catalogs, and lineage tracking 
  • Strong understanding of: 
  • ATM domain data models, including surveillance, flight plans, and weather integration 
  • FAA’s data lifecycle policies, authoritative data source strategies, and system performance requirements 
  • Architectural patterns for mission-critical or real-time systems 
  • Familiarity with: 
  • SWIM, NAS systems, and FAA modernization efforts 
  • DevSecOps practices, including infrastructure as code and CI/CD pipelines 
  • Excellent verbal and written communication skills to engage technical and non-technical stakeholders alike. 

 

Required Education and years 

Level I 

  • 0-4 years of experience and a Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related technical field.  

Substitution: High school degree and an additional 4 years of experience   

Salary Range: $63,600 - $99,450

 

Level II 

  • 5-9 years of experience and a Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related technical field.  

Substitution:   

  • Masters degree with 3-7 years of experience would qualify 
  • PHD degree with 0-4 years of experience would qualify 
  • Highschool degree with a minimum of 14 years total.   

 Salary Range: $77,000 - $120, 275

 

 

Level III 

  • 10-15 years of experience and a Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related technical field.  

Substitution:   

  • Masters degree with 8-13 years of experience would qualify 
  • PHD degree with 5-10 years of experience would qualify 
  • Highschool degree with a minimum of 24 years total. 

 Salary Range: $102,500 - $160,100

 

 

Level IV 

  • 16-24 years of experience and a Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related technical field.  

Substitution:   

  • Masters degree with 14-22 years of experience would qualify 
  • PHD degree with 11-19 years of experience would qualify 
  • Highschool degree with a minimum of 26 years total. 

 Salary Range: $124,000 - $193,750

Desired Qualifications:

Preferred Qualifications: 

  • Experience working on FAA or federal aviation programs (e.g., NAS modernization, TFDM, TBFM, ERAM). 
  • Knowledge of FAA enterprise architecture frameworks (e.g., UAF, DoDAF) and modeling tools (e.g., Cameo, MagicDraw). 
  • Familiarity with data mesh, data lakehouse, or hybrid cloud architectures. 
  • Experience with geospatial data, sensor fusion, or time-series data at scale. 
  • Data architecture certifications (e.g., AWS Data Analytics, DAMA-CDMP, TOGAF). 

 

Overview
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