Data Architect

The Aerospace Corporation

Data Architect designing and modernizing enterprise data capabilities for Aerospace. Collaborating across technical environments to treat data as a strategic asset.

Posted 6/10/2026full-timeChantilly • 🇺🇸 United StatesSeniorLead💰 $155,900 - $233,900 per yearWebsite

Tech Stack

Tools & technologies

CloudNoSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, SW Engineering, Information Systems, or a related field (or equivalent work experience)
7 + years of experience in data engineering, data architecture, or data operations
Significant experience designing enterprise data architectures in complex organizations.
Strong knowledge of data modeling, data integration, metadata management, data quality, and data governance.
Experience with modern data platforms such as cloud data warehouses, data lakes, lakehouses, relational databases, NoSQL stores, or distributed processing platforms.
Experience designing APIs, data pipelines, data exchange patterns, or integration architectures.
Working knowledge of security, access control, compliance, and data protection principles.
Demonstrated ability to produce architecture artifacts, technical standards, and implementation roadmaps.
Strong problem-solving skills, with a strategic mindset and the ability to design and evolve enterprise-scale data ecosystems.
Ability to communicate effectively with both technical and non-technical stakeholders.
Excellent interpersonal skills, with a proven track record of fostering collaboration and knowledge-sharing across diverse teams.
Demonstrated ability for innovation, creativeness, resourcefulness, and initiative.
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

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Hard Skills & Tools

data architecturedata modelingdata integrationmetadata managementdata qualitydata governanceAPI designdata pipelinescloud data warehousesNoSQL

Soft Skills

problem-solvingstrategic mindseteffective communicationinterpersonal skillscollaborationinnovationcreativenessresourcefulnessinitiative

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data EngineeringBachelor’s degree in Computer EngineeringBachelor’s degree in SW EngineeringBachelor’s degree in Information Systemssecurity clearance