Redhorsecorp24d ago

Chief Architect

United States·ChantillyFull-Timeexecutive

Data ScienceArchitectConstruction & Real Estate

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Quick Summary

Overview

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S.

Technical Tools

Data ScienceArchitectConstruction & Real Estate

About the Organization

Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role

Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Chief Architect to lead the technical design and evolution of high-impact data solutions for our government partners. In this role, you will be the visionary behind the overarching technical direction of our most critical projects, ensuring that architectural solutions are secure, scalable, and mission-aligned. By leveraging your expertise in Open-Source Intelligence (OSINT) and cloud-native services, you will directly influence how the government incorporates AI, machine learning, and advanced data processing into national security missions. If you are a collaborative leader committed to technical excellence and fostering inclusive engineering environments, this is the role for you.

Lead the overarching technical design and architecture, ensuring all solutions align with customer requirements and mission-critical objectives.

Provide strategic technical direction and integrate architectural best practices across all solution components.

Oversee the creation and maintenance of comprehensive technical documentation, including architecture diagrams, design specifications, and governance standards.

Design, develop, and document data collection capabilities and cloud-based services to enhance mission effectiveness.

Drive continuous innovation and optimization in the design and deployment of large-scale collection capabilities.

Evaluate and integrate emerging technologies—including AI, machine learning, and cloud computing—to improve the security and agility of operations.

Collaborate with program leadership and diverse stakeholders to translate mission needs into actionable technical requirements and architecture plans.

Foster a collaborative environment by providing mentorship, guidance, and professional development to engineering and development teams.

Conduct rigorous architectural reviews to ensure compliance with federal security standards and frameworks.

Active TS/SCI security clearance with a Full-Scope Polygraph.
10+ years of professional experience in systems architecture.
Proven experience designing, developing, and documenting cloud-based data collection capabilities.
5+ years of experience leading innovation and optimization efforts in the deployment of technical collection capabilities.
Demonstrated experience architecting and implementing solutions utilizing AI, Machine Learning, and cloud computing within an OSE (Open Source Environment) or mission context.
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline.
Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Professional-level architecture certification in AWS, Azure, or GCP.
Experience leading multi-disciplinary architecture teams within the Intelligence Community (IC) or Department of Defense (DoD).
Hands-on experience with containerization technologies such as Kubernetes and Docker.
Familiarity with microservices architecture and cloud-native design patterns.
Practical familiarity with DevSecOps practices, CI/CD pipelines, and Infrastructure-as-Code (IaC).
Experience designing and managing data engineering pipelines and large-scale data processing architectures.
A demonstrated commitment to building and supporting diverse technical teams through inclusive mentorship.