Solution Architect

Overview Intrepid, an SPA Company, brings more than 20 years of experience supporting the Department of Defense and U.S. Government, consistently setting the standard for excellence in the federal marketplace. Committed to advancing the mission of the U.S. Warfighter, Intrepid leverages technological superiority to deliver innovative solutions across air, space, land, and sea domains. We are proud to foster a collaborative, dynamic work environment, offering competitive compensation and an industry-leading 401k contribution. Our team is built through merit and achievement, and we're always looking for the best and brightest to join us in our growth. We treat our people like family, we are mission-focused, and we give back! Our Financial Management & Business Analysis Portfolio supports the U.S. Army Space and Missile Defense Command (USASMDC); the Office of the Assistant Secretary of the Army (ASA) Financial Management and Comptroller (FM&C); the U.S. Army Financial Management Command (USAFMCOM); the Defense Health Agency (DHA); and many other DoD customers. We ensure the Army FM systems and processes are modernized and integrated to provide a complete range of financial and cost information needed for the Army to conduct business transactions, provide accountability to the public, and to support performance reporting and decision making. We provide effective functional systems support, user technical support, training support, and governance support of the Army's modernized and deployed FM domain ERP systems (GFEBS / GFEBS-SA / GCSS-A (Finance)), ensuring technological capabilities maturation and evolution aligns with Army and FM domain goals and objectives. We are looking for a Senior Solution Architect to join our team to support the Defense Health Agency Chief Data and Analytics Office in building an enterprise data orchestration layer for the Military Health System. The team will be bringing together information from diverse defense and federal systems to build scalable data pipelines, APIs, and data products that improve how critical health data is integrated, accessed, and used. Responsibilities Define scalable solution architectures for a modern federal health data platform spanning cloud, on-premises, and government-hosted environments. Translate mission, business, data, security, and operational requirements into clear technical designs and implementation strategies. Develop current-state and target-state architectures that guide the incremental modernization of legacy data systems and capabilities. Design integration approaches for exchanging data across disparate defense and federal systems, including APIs, pipelines, shared services, and reusable data products. Establish reference architectures, integration patterns, technical standards, and architectural guardrails that improve consistency and interoperability across teams. Evaluate architectural options based on security, scalability, performance, reliability, maintainability, cost, and delivery risk. Guide the effective use of Databricks and cloud services across AWS, Azure, Oracle Cloud, and hybrid infrastructure. Ensure platform and solution designs account for data quality, governance, metadata, lineage, access, and lifecycle requirements. Lead technical discovery and architecture discussions with engineers, technical leaders, customers, and mission stakeholders. Produce and maintain architecture diagrams, interface definitions, design documentation, decision records, and technical roadmaps. Partner with Data Engineers and Technical Leads to review solution designs, resolve complex technical challenges, and keep implementations aligned with the broader platform architecture. Identify architectural dependencies, constraints, and risks early and work across teams to drive them toward resolution. Communicate complex architectural decisions, tradeoffs, and recommendations clearly to technical and nontechnical audiences. Help grow a shared data platform ecosystem by promoting reusable patterns, lessons learned, and technical guidance across teams. Qualifications Required Qualifications Possess an active Secret clearance Master's degree in Computer Science, Information Systems, Software Engineering, or a related field 10+ years of experience in solutions architecture, data architecture, software architecture, platform engineering, data engineering, or a related technical field Demonstrated experience designing complex enterprise data platforms or distributed solutions spanning multiple systems, applications, data sources, and organizational boundaries Strong understanding of modern data platform concepts, including data ingestion, integration, transformation, storage, access, APIs, and data products Experience designing hybrid solutions spanning public cloud, on-premises infrastructure, and government data centers Experience architecting platforms that support very large or highly complex datasets Experience integrating modern platforms with legacy systems and developing incremental modernization strategies Strong understanding of API design, system integration patterns, and data exchange approaches Experience architecting solutions on AWS, with familiarity with Microsoft Azure or Oracle Cloud Working knowledge of data modeling, metadata, lineage, data quality, and data governance principles Ability to incorporate security, availability, performance, scalability, reliability, maintainability, and operational support requirements into technical designs Experience evaluating technology options and documenting architecture diagrams, reference architectures, interface designs, technical roadmaps, and key technical decisions Experience guiding engineering teams through the implementation of complex technical designs Strong understanding of modern software engineering practices, development lifecycles, and Git-based workflows Strong client-facing communication and facilitation skills, with the ability to translate mission and business needs into actionable technical direction Ability to independently navigate ambiguity, identify cross-cutting technical risks, and drive complex architectural decisions toward resolution Desired Qualifications Experience architecting solutions using Databricks, Apache Spark, or similar modern data platforms Experience with Palantir Foundry, Advana, or similar DoW data environments Experience supporting federal health or other regulated and sensitive data environments Experience working with DoW or other federal systems, including familiarity with government security, compliance, authorization, and data-handling requirements Experience working with federal health, financial, or other regulated and sensitive data Experience designing AI/ML-enabled components, evaluating build-versus-buy and cost tradeoffs, and accounting for applicable federal AI guidance Pay Range Information At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. , Pay Transparency Salary range: USD $150,000.00/Yr. - USD $215,000.00/Yr. #J-18808-Ljbffr