Database Architect

DCS Air & Space Technology (AST) Sector is seeking a Database Architect to join our highvisibility, fastpaced MS&A and digital engineering team. If you are driven by architecting secure, scalable data solutions and motivated by supporting real nationalsecurity missions, this role places you at the forefront of advanced system analysis and emerging technology integration. At DCS-an employeeowned company recognized for agile, forwardleaning solutions across Defense, Aerospace, Human Factors, and Security-you will have the opportunity to shape foundational data infrastructures that enable nextgeneration analytical capabilities from your first day on the team.

As part of our organization, you will support cuttingedge defense research and development efforts while working alongside experts in modeling, simulation, optimization, and multidisciplinary systems engineering. You will design the data architectures that underpin sophisticated analytical workflows, ensuring that models, tools, and computational processes can interoperate securely and efficiently across the Department of Defense. Your work will enable improved decisionmaking for emerging technologies and help ensure that complex analytical ecosystems remain robust, traceable, and architecturally sound.

Essential Job Functions:

As a Database Architect, you could expect to:

Collaborate with stakeholders to develop comprehensive use cases/user stories for multi-disciplinary analysis and optimization process (MDAO).

Derive requirements from user stories and map to technical solutions.

Develop schemas for the full MDAO lifecycle, including study design, model development, computational tool pedigree, component interconnection, parameter selection, executable artifact storage, and computational results.

Model workflows and interactions with databases in UML and/or SysML, such as with activity and sequence diagrams.

Design a granular, role-based security architecture using public key infrastructure and multi-factor authentication to allow free collaboration among teams and automated services (e.g., CI/CD pipelines and cloud computing environments) while protecting data at multiple security levels.

Create artifacts supporting the ATO process and deployment under existing systems' ATO.

Implement backend and frontend infrastructure using NoSQL database and Python/REST.

Communicate with stakeholders through diagrams, presentations, and written documentation.

Required Skills:

Due to the sensitivity of customer related requirements, U.S. Citizenship is required.

Must have an active Secret level U.S. DoD security clearance.

At least a BS degree in engineering, science, mathematics, or a related technical discipline and at least 12 years of related database architecture experience.

Strong understanding of data structures, including their design, selection, and application to optimize storage, retrieval, computation, and overall system performance.

Experience architecting and implementing serviceoriented systems, such as microservices and RESTbased services.

Proficiency with both relational and nonrelational database technologies, including the ability to design, normalize, optimize, and maintain SQL databases as well as schemaflexible NoSQL systems.

Working knowledge of core network protocols, such as IP, TCP, and

Practical application of security principles, including public key infrastructure (PKI), rolebased access control (RBAC), and single signon (SSO).

Ability to work well in team environments.

Ability to travel, as required.

Desired Skills:

MS in engineering, science, mathematics, or related technical discipline.

Active Top Secret security clearance or higher.

Familiarity with modern software engineering best practices, including writing clean, maintainable code; applying testdriven development techniques; and contributing effectively within AGILE development environments.

Experience conducting usecase and userstorydriven requirements analysis.

Background in software and database architecture.

Ability to create abstract architecture models, such as UML or SysML diagrams.

Ability to tackle unfamiliar technical domains by using systematic reasoning, structured investigation, and iterative hypothesisdriven exploration.