Data Architect

We’re seeking an experienced Data Architect to support the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) program. In this role, you’ll design, implement, and manage enterprise data architecture that supports mission-critical operations. You’ll work closely with business leaders and technical teams to develop long-term data strategies, modernize data environments, and deliver scalable solutions that drive informed decision-making across the organization.

Responsibilities

• Develop enterprise-wide data architecture strategies aligned with mission objectives.
• Create short-term (2-year) and long-term (5-7 year) data roadmaps.
• Design conceptual, logical, and physical data models.
• Build scalable data architecture and management solutions.
• Collaborate with cross-functional teams to ensure seamless data integration and accessibility.
• Implement security controls and governance policies to protect data integrity.
• Plan, design, and deploy enterprise data solutions.
• Manage the complete data lifecycle, including architecture, implementation, testing, and ongoing maintenance.
• Provide technical leadership on data management best practices and emerging technologies.

• 10+ years of professional work experience (advanced education may substitute for some experience).
• 5+ years of directly related Data Architecture experience.
• 1+ year of leadership or management experience.
• Active DoD Secret Security Clearance.

Technical Requirements Candidates should have experience with:

Databases & Data Management

• SQL development
• Database administration
• Relational databases (PostgreSQL, Oracle, or similar)
• NoSQL databases (MongoDB, Cassandra, or similar)

Data Visualization

• Power BI
• Tableau
• Equivalent enterprise visualization platforms

Programming

• Python
• Java
• C/C++
• Perl

• Similar scripting or programming languages Cloud Platforms

• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)

Additional Experience

• Machine Learning (ML)
• Natural Language Processing (NLP)
• Predictive analytics and modeling
• Model-Based Systems Engineering (MBSE)
• Integrating AI capabilities into legacy systems, * Certified Data Management Professional (CDMP)
• AWS Certified Solutions Architect
• Azure Solutions Architect Expert
• Google Professional Data Engineer
• Cloudera Certified Professional (CCP) Data Engineer
• Oracle Database PL/SQL Developer Certified Professional

• Translate business needs into scalable technical solutions.
• Lead enterprise data strategy initiatives.
• Design secure, modern, and high-performing data environments.
• Collaborate effectively across technical and business teams.
• Leverage cloud technologies, analytics, and AI to improve organizational decision-making.