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The Aerospace Corporation

Senior Data Architect

The Aerospace Corporation

Senior Data Architect at Aerospace Corporation leading the design of AI-ready data platforms. Engaging with government stakeholders and driving enterprise-level transformation in data architecture.

Posted 4/24/2026full-timeChantilly • California, Virginia • 🇺🇸 United StatesSenior💰 $151,300 - $226,900 per yearWebsite

Tech Stack

Tools & technologies
CloudDistributed SystemsKafkaPulsar

About the role

Key responsibilities & impact
  • Define and lead the architecture for an AI-ready data platform supporting real-time, batch, and streaming workloads
  • Design distributed data architectures across cloud, on-prem, and edge environments
  • Establish multi-domain data federation strategies enabling unified access without unnecessary data movement
  • Develop data mesh or data fabric frameworks including domain ownership, interoperability, and governance
  • Ensure data readiness for AI (quality, lineage, metadata, labeling, governance)
  • Design and implement data services layer (APIs, event streaming, data contracts, schema management)
  • Enable interoperability across heterogeneous systems (legacy + modern platforms)
  • Implement data governance frameworks including catalog, lineage, and policy enforcement
  • Partner with engineering, AI/ML, cloud, and mission stakeholders to drive adoption
  • Provide technical leadership and mentorship across teams
  • Influence enterprise roadmaps and investment priorities

Requirements

What you’ll need
  • 10+ years of experience in data architecture, distributed systems, or data platforms
  • Proven experience designing enterprise-scale data platforms
  • Deep expertise in distributed data architectures, Data mesh and/or data fabric
  • Hands on experience using data federation and virtualization technologies
  • Strong experience with data pipelines (batch + streaming), Event-driven architectures (e.g., Kafka, Pulsar, Kinesis) and Data modeling and schema design (Avro, Protobuf, JSON)
  • Experience enabling AI/ML platforms, including data pipelines for training and inference
  • Strong understanding of data governance, lineage, cataloging, data quality and observability frameworks
  • This position requires ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance.

Benefits

Comp & perks
  • Comprehensive health care and wellness plans
  • Paid holidays, sick time, and vacation
  • Standard and alternate work schedules, including telework options
  • 401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
  • Flexible spending accounts
  • Variable pay program for exceptional contributions
  • Relocation assistance
  • Professional growth and development programs to help advance your career
  • Education assistance programs
  • An inclusive work environment built on teamwork, flexibility, and respect

ATS Keywords

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Hard Skills & Tools
data architecturedistributed systemsdata platformsdata meshdata fabricdata federationdata virtualizationdata pipelinesevent-driven architecturesdata modeling
Soft Skills
technical leadershipmentorshipinfluencecollaboration
Certifications
security clearance