Data Architect
The Aerospace CorporationAbout the role
The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.
The Digital Innovation Division (DID) is accountable for generating and executing integrated strategies, providing governance, and managing internal investments that form the foundation of Aerospace’s digital transformation.
The Digital Innovation Division is seeking an experienced Data Architect to design, govern, and modernize enterprise data capabilities across a complex technical environment. This role will be responsible for developing scalable data architectures, improving data interoperability, enabling trusted analytics, and supporting the organization’s broader digital transformation goals.
You will work across mission, business, engineering, cybersecurity, and IT stakeholders to ensure that data is treated as a strategic asset. The ideal candidate will bring strong technical depth, practical implementation experience, and the ability to translate enterprise needs into durable data architecture patterns, standards, and solutions.
Work Model: 100% onsite; Chantilly, Colorado Springs, El Segundo.
What You’ll Be Doing
Develop and maintain enterprise data architecture frameworks, reference architectures, design patterns, and standards.
Define target-state data architectures that support analytics, AI/ML, digital engineering, mission applications, and enterprise reporting.
Assess current-state data environments, identify gaps, and develop practical roadmaps for modernization.
Design architectures for structured, semi-structured, and unstructured data across cloud, on-premises, hybrid, and classified networks
Design conceptual, logical, and physical data models for enterprise and mission systems.
Support integration across legacy systems, data platforms, software factories, analytics environments, and business applications.
Ensure architecture decisions align with governance, security, compliance, privacy, and mission requirements.
Advise on data platform capabilities, including data lakes, warehouses, lakehouses, catalogs, pipelines, streaming platforms, knowledge graphs, and API layers.
Architect data foundations that enable reliable AI/ML development, model training, retrieval-augmented generation, advanced analytics, and operational decision support.
Translate technical architecture concepts into clear guidance for executives, program leaders, engineers, analysts, and data owners.
Facilitate architecture reviews, working groups, and design sessions.
Produce clear architecture artifacts, including diagrams, roadmaps, standards, decision records, and implementation guidance.
What You Need to be Successful
Minimum Requirements:
Bachelor’s degree in Computer Science
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