Experience with cloud-based data collection designs
5+ years leading technical collection innovations
Background in AI, Machine Learning, and cloud within OSE contexts
Bachelor's in Computer Science or related field
Strong communicator of technical concepts to diverse audiences
Responsibilities
Lead technical design to meet customer mission objectives
Provide strategic direction and integrate best practices
Maintain technical documentation including architecture and governance
Design cloud-based data collection capabilities
Drive innovation in large-scale deployment of data solutions
Evaluate and integrate cutting-edge technologies for operational security
Translate mission needs into technical architecture plans
Mentor and guide engineering teams for collaborative improvement
Ensure compliance with federal security standards during architectural reviews
Benefits
Professional development opportunities
Collaborative team environment
Engagement with national security missions
Focus on innovative technology solutions
Inclusive engineering culture
Full Job Description
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.
Key Responsibilities
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.
Required Experience/Clearance
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.
Desired Skills
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.
