Senior Graph Architect

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.

We are seeking a Senior Graph Architect to lead the design and delivery of enterprise-scale knowledge graph solutions that transform how the U.S. Government understands, connects, and acts on complex data.

If you're a recognized leader in complex systems architecture and guiding teams toward success far beyond familiarity with the advance tools within a knowledge graph, this role may be for you.

As our Senior Graph Architect, you will architect and operationalize graph-based ecosystems across mission environments in national security and defense. In this role, you'll be enabling advanced entity resolution, multi-source integration, network discovery, and AI-enhanced insight generation at scale. You will be working across technologies such as Neo4j, Databricks, Senzing, and GraphAware Hume, continuing to learn about new tech in the space and recommending approaches as they become available, you will design and advise our Graph team as we build production-grade graph platforms that support high-consequence analysis, operational resilience, and measurable mission impact.

You're an ideal candidate for this position if you deeply understand both the technical substrate and the institutional gravity of defense environments. You think in systems. You build for scale. You optimize for mission outcomes. You will consult on demos, but this is not your ultimate outcome, as we will gauge success based on how well our team delivers success to our customers and their missions. 

Design and evolve large-scale knowledge graph architectures that integrate distributed data sources across secure environments, ensuring seamless interoperability and scalability. Establish canonical data models aligned with real user requirements, analytic workflows, and mission priorities to enable consistent, mission-relevant insights. Architect entity resolution pipelines using tools such as Senzing, along with scalable data processing frameworks like Databricks, Spark, and Delta Lake, to ensure high performance, lineage traceability, and data integrity. Operationalize graph databases such as Neo4j in production environments with a focus on auditability, resilience, and security-by-design principles, enabling reliable and secure mission-critical operations.

Translate ambiguous government requirements into executable graph architectures that align technical implementation with mission intent and operational outcomes. Design link analysis, network detection, and pattern identification solutions that directly support intelligence and operational users, enabling deeper situational awareness and actionable insights. Integrate graph analytics with NLP, machine learning, and advanced analytic workflows to enable higher-order reasoning, automated discovery, and enhanced decision-making. Drive performance tuning, query optimization, and schema evolution to ensure scalability, efficiency, and adaptability as mission requirements expand and analytic complexity increases.

Serve as a trusted technical advisor to senior government stakeholders, providing expert guidance on the design, implementation, and operationalization of knowledge graph solutions. Educate mission owners on the art and science of knowledge graphs, including key tradeoffs in modeling approaches, schema flexibility, and algorithmic application to ensure informed architectural and operational decisions. Provide structured recommendations on roadmap development, scaling strategies, and long-term sustainability to enable resilient, mission-aligned graph capabilities that evolve with organizational needs.

Lead data ingestion strategies across high-volume, multi-source environments to ensure reliable, scalable, and secure integration of diverse datasets. Oversee the migration, refactoring, or redesign of legacy graph models as needed to improve performance, maintainability, and alignment with evolving mission requirements. Ensure systems remain performant, resilient, and adaptable under increasing data volumes, analytic complexity, and expanding mission demands.

Mentor engineers and analysts in graph modeling, query design, and system architecture to build technical depth and ensure consistent, high-quality implementations. Establish engineering standards, documentation protocols, and modeling best practices that promote maintainability, scalability, and long-term operational success. Contribute to internal research and development efforts that advance graph technologies and analytic capabilities within national security contexts, helping drive innovation aligned with mission priorities.

Ensure all architectures comply with federal security standards, including ATO processes, data handling requirements, access controls, and comprehensive logging, to support secure and compliant mission operations. Design and implement systems that are auditable, resilient, and defensible, enabling transparency, operational continuity, and confidence in the integrity and security of mission-critical data and analytic environments.