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Develops enterprise architecture products and digital models documenting capabilities, organizations, activities, and systems. Conducts DOTMLPF research, analyzes missions and resource needs, develops task lists, and applies enterprise architecture, MBSE, optimization modeling, and engineering management expertise. Presents technical findings and recommendations to diverse audiences, develops innovative solutions, and works independently. Requires Secret clearance, a bachelor’s degree, specialized architecture tools knowledge, and up to 25% travel.

Develop and support data visualization toolkits, dashboards, and visual reports. Prepare and quality-check datasets, apply data storytelling and visualization best practices, and collaborate with analytics teams to capture requirements and refine designs. The role uses platforms such as Power BI, Tableau, and Advana within Department of Defense environments, with opportunities to create interactive visualizations and mentor others.

The role involves designing data architecture solutions, optimizing data pipelines, collaborating with teams, and enhancing data management for national security.

Develop and maintain production-ready full-stack web applications using React, TypeScript, Node.js, REST APIs, and PostgreSQL. Design end-to-end solutions, support cloud deployments, evaluate system improvements, and collaborate in an agile environment. The role may involve Docker, Azure, CI/CD, Databricks integrations, automated testing, and Python-based services. U.S. citizenship and completion of a required skills assessment are necessary.

Design, develop, test, maintain, and document efficient web-based applications. Translate UI/UX wireframes into functional software, recommend system upgrades, apply software development best practices, automate configurations, support virtualized and containerized infrastructure, and ensure reliable application performance.

Designs, builds, deploys, and maintains scalable data platforms, warehouses, lakes, ETL/ELT pipelines, and batch or streaming workflows. Optimizes cloud data lake and pipeline performance, manages data governance and lifecycle solutions, and collaborates with multidisciplinary agile teams. The role supports mission-driven client projects involving disparate structured, unstructured, and event-streaming data.

Design and develop ServiceNow solutions for CMDB and Attack Surface Management, ensuring data quality and building analytical dashboards.

Leads the development, management, and security of enterprise container platforms and cloud-native solutions. Builds and improves DevOps and DevSecOps automation for CI/CD pipelines, testing, monitoring, and releases across environments. Troubleshoots pipeline issues, develops Kubernetes-based deployment tools, advises clients on secure container adoption, informs platform strategy and design, ensures standards, and mentors team members.

Implement metadata governance frameworks for structured and unstructured data in cloud environments. Track data lineage and synchronize metadata across data catalogs, ESRI Kubernetes, and enterprise repositories. Use OpenLineage, Apache Atlas, and related tools to manage metadata and lineage. Enforce DoD metadata policies and NSG standards for geospatial datasets while advising clients and guiding data science teams.

Design, deploy, operate, and support secure AI tools, gateways, integrations, and automated workflows. Manage model access, APIs, permissions, monitoring, audit records, testing, troubleshooting, releases, and documentation. Collaborate with engineering, cybersecurity, platform, product, and operations teams to improve AI assistants, prompts, and workflow reliability. Contribute to cyber operations, technical planning, code reviews, and agile delivery while mentoring junior team members.