SME Data Architect

CACI International•Ashburn, VA

6d•$103,800 - $218,100•Onsite

About The Position

Join CACI’s Agile Solution Factory (ASF)—a leader in delivering secure, modernized, and data‑driven solutions for critical government missions. We are looking for a collaborative, forward-thinking Senior Data Architect who thrives in dynamic environments and enjoys shaping enterprise-level data capabilities. In this high‑visibility role, you will work closely with Enterprise Architects, government civilians, and military personnel to design innovative, data‑centric solutions that power decision‑making across mission-critical systems. Your expertise in data strategy, governance, modeling, and quality will play a pivotal role in modernizing customer applications and ensuring they deliver trusted, actionable insights. If you’re a self-starter who loves solving complex data challenges, partnering with cross-functional teams, and influencing enterprise architecture—this is the opportunity to make a measurable impact.

Requirements

U.S. Citizenship and an active DoD Secret security clearance.
Bachelor’s or Master’s degree in Computer Science, Information Assurance, MIS, or related discipline (equivalent experience considered).
7+ years of experience as a Data Architect.
Strong written and verbal communication skills.
Highly collaborative with strong teamwork orientation and work ethic.
Proven ability to thrive in fast-paced, evolving environments.
Solution-driven mindset with the ability to resolve complex technical challenges.
Ability to work effectively with limited oversight.
DoD 8570/8140 compliance (e.g., Security+ CE, CASP CE).
Deep mastery of DoDAF and UAF frameworks.
Proficiency with enterprise modeling tools such as ARIS, Visio, MagicDraw, and platforms like Vantage and Army 365 Power Platform.
Ability to create, update, and manage government architecture viewpoints and models.
Experience integrating work with Enterprise Architects and Data Scientists.
Full capability to execute the responsibilities listed above.

Nice To Haves

Hands-on experience with Azure, AWS, or other cloud platforms (SaaS/PaaS).
Understanding of DISA STIG, ACAS/Nessus, and DoD cybersecurity guidelines.
Experience with Palantir Foundry (preferably within Army Vantage) or ADVANA.
Background in software development or database programming.

Responsibilities

Maintain and continuously update architecture product inventory.
Analyze business processes to refine data sources for management, analytics, and visualization.
Design, implement, and optimize secure, efficient logical and physical databases.
Collaborate with stakeholders to define reporting outputs, summarization needs, and data formats.
Determine and specify detailed logical and mathematical operations for programs and personnel in data systems.
Assess project requirements to create new programs or modify existing ones.
Participate in scope and requirement meetings to clarify project needs and limitations.
Review workflow charts and database management procedures to ensure alignment with system tasks.
Develop comprehensive data models, logical access descriptions, and physical database specifications.
Create documentation, reports, and manuals supporting new or upgraded systems.
Establish procedures to detect and correct data-quality issues; develop governance policies and controls.
Ensure privacy controls are properly enforced across all data processes.
Implement data curation practices to align data lifespan with mission requirements.
Seek, manage, and integrate spatial data (classified & unclassified), connecting it to mission datasets.
Design methodologies for data movement, storage, pipelines, ETL/ELT workflows, and structured/unstructured data.
Support data exploration, anomaly detection, transformation, and merging into unified data stores.
Conduct data mining and retrieval activities.
Enable data visualization using multiple tools and platforms.
Provide outstanding customer support and partner with analytical units to translate challenges into solutions.
Lead Integrated Product Team (IPT) sessions and collaborate with internal/external partners to advance data management excellence.