Enterprise Solution Architect

Accountabilities: As Enterprise Solution Architect, you will define and govern the target-state architecture while leading modernization, integration, data management, cybersecurity, and intelligent automation initiatives across the enterprise. Establish, maintain, and govern the target-state enterprise architecture for healthcare supply chain and logistics operations. Develop current-state, future-state, and transition architecture models covering business, applications, data, integration, security, infrastructure, cloud, and operational support. Define enterprise architecture principles, technical standards, governance frameworks, reference architectures, reusable design patterns, and Architecture Decision Records. Lead architecture review boards, solution design reviews, technical intake processes, governance forums, and executive-level architecture presentations. Ensure architecture decisions align with organizational strategy, technology roadmaps, cybersecurity requirements, business priorities, and operational objectives. Maintain the enterprise architectural roadmap, ensuring short-term technology investments support long-term modernization goals. Translate strategic priorities into technical roadmaps, architectural enablers, epics, features, user stories, non-functional requirements, and measurable implementation outcomes. Apply established architecture frameworks and methodologies, including DoDAF, UAF, TOGAF, or equivalent approaches. Design and govern a centralized integration platform supporting secure, scalable, and near-real-time information exchange through APIs, event-driven architecture, messaging, batch processing, and legacy integrations. Establish reusable integration patterns, API standards, data contracts, interface specifications, observability requirements, security controls, and service-level objectives. Enable interoperability across supply chain, inventory, procurement, logistics, financial, clinical, asset-management, and external partner systems while reducing fragmented point-to-point integrations. Lead phased modernization of legacy applications, interfaces, data pipelines, and infrastructure while preserving operational continuity. Define modernization strategies, including API enablement, refactoring, re-platforming, cloud migration, service decomposition, system consolidation, replacement, and retirement. Architect and govern AI-enabled capabilities, including agentic workflows, predictive analytics, intelligent automation, and human-in-the-loop decision support. Establish appropriate AI governance, security, traceability, permissions, monitoring, and human oversight mechanisms. Define enterprise data and master-data architectures that support trusted, authoritative, interoperable, and reusable information. Establish data governance standards covering ownership, quality, metadata, lineage, lifecycle management, access controls, authoritative sources, and master data. Enable secure and consistent information sharing across enterprise systems and external data sources. Define secure hybrid and cloud-native architecture patterns that support scalability, resiliency, disaster recovery, observability, and cost optimization. Establish and govern DevSecOps practices covering CI/CD pipelines, automated testing, security scanning, infrastructure automation, configuration management, monitoring, and continuous compliance. Incorporate Zero Trust principles, identity and access management, encryption, secrets and certificate management, API security, and vulnerability management into enterprise architecture. Collaborate with product, engineering, security, data, operations, and business teams to translate architectural requirements into prioritized development initiatives and release plans. Manage cross-product dependencies while balancing feature delivery, technical debt reduction, modernization, cybersecurity, and operational sustainability. Define and monitor architecture performance indicators covering interoperability, data quality, reliability, delivery efficiency, technical debt, and modernization progress. Requirements: The ideal candidate is a highly experienced technology leader with extensive enterprise architecture expertise and a strong background in integration, cloud platforms, data architecture, application modernization, and cybersecurity. You should be capable of guiding complex technical transformations, influencing senior stakeholders, and translating business needs into scalable and secure enterprise solutions. Bachelor's degree in Computer Science, Engineering, Information Systems, Health Informatics, Data Management, or a related discipline. An advanced degree is preferred. At least 10 years of progressively responsible experience in enterprise architecture, solution architecture, application architecture, integration architecture, data architecture, cloud architecture, or comparable technical leadership roles. Demonstrated experience supporting large-scale healthcare, supply chain, logistics, procurement, inventory, financial management, clinical, or other mission-critical operational environments. Strong expertise in enterprise and solution architecture, reference architectures, current-state and future-state modeling, transition architectures, technical roadmaps, architecture decision records, and modernization strategies. Familiarity with formal architecture frameworks, including DoDAF, UAF, TOGAF, or equivalent methodologies. Extensive experience designing API-led, event-driven, message-based, and batch integration solutions. Strong knowledge of REST APIs, OpenAPI specifications, Enterprise Service Bus (ESB), Enterprise Application Integration (EAI), ETL/ELT, publish-subscribe patterns, XML, EDI, HL7, and FHIR. Experience defining reusable integration patterns, canonical data models, API and data contracts, service orchestration, interface versioning, error handling, auditability, and operational monitoring. Expertise in enterprise data modeling, master data management, data governance, data quality, metadata management, data lineage, authoritative-source management, data lakes, lakehouses, and modern data engineering. Experience developing enterprise master-data models for items, vendors, contracts, classification references, and other supply chain domains is strongly preferred. Architecture-level experience with Kubernetes, Red Hat OpenShift, AWS, Azure, and hybrid IaaS, PaaS, and SaaS environments. Familiarity with Red Hat technologies, InterSystems integration solutions, Databricks, API management platforms, enterprise messaging, and data-platform services. Experience modernizing and maintaining legacy enterprise applications involving complex custom code, databases, file-based integrations, or mainframe-era dependencies. Familiarity with Java, Spring Boot, .NET, Python, React, Angular, Node.js, and MUMPS-based applications is preferred. Strong understanding of API enablement, service decomposition, code refactoring, re-platforming, re-hosting, cloud migration, data migration, and phased system retirement. Experience designing, integrating, or governing AI-enabled systems, including machine learning, predictive analytics, generative AI, intelligent automation, agentic workflows, natural-language interfaces, and workflow orchestration. Knowledge of responsible AI principles, model and prompt governance, agent permissions, tool controls, data protection, testing, evaluation, traceability, monitoring, and human-in-the-loop oversight. Experience establishing and governing DevSecOps practices, including CI/CD pipelines, infrastructure automation, source control, automated testing, code quality controls, deployment automation, configuration management, and rollback strategies. Familiarity with GitHub, GitLab, Jenkins, SonarQube, and comparable development and delivery tools. Experience designing or governing cloud environments involving virtual private cloud networking, subnets, firewalls, load balancers, security groups, identity and access management, container orchestration, monitoring, and resiliency controls. Familiarity with CloudWatch, Azure Monitor, Dynatrace, AppDynamics, or comparable application performance monitoring solutions. Strong understanding of Zero Trust, identity federation, access control, encryption, audit logging, boundary protection, secrets management, certificate lifecycle management, vulnerability management, secure coding, and API security. Familiarity with NIST SP 800-53 Rev. 5, Risk Management Framework (RMF), assessment and authorization processes, and federal cybersecurity requirements is strongly preferred. Experience managing identity and access integrations, service accounts, credential rotation, secrets management, and certificate lifecycle automation. Familiarity with Microsoft Entra ID, external secrets-management services, PIV/CAC-oriented access controls, and certificate-management platforms is preferred. Demonstrated ability to modernize complex systems while maintaining operational continuity, data integrity, cybersecurity compliance, service availability, and user productivity. Experience working in scaled Agile environments and translating architecture into prioritized enablers, epics, features, user stories, and release plans. Familiarity with SAFe, Agile product management, backlog refinement, dependency management, Program Increment planning, architecture synchronization, and technical governance is strongly preferred. Exceptional communication and presentation skills, with the ability to explain complex architectural concepts, technical trade-offs, risks, and recommendations to executives, business stakeholders, engineers, cybersecurity professionals, and external partners. Ability to produce clear architecture diagrams, technical standards, roadmaps, decision records, and executive-level briefings. Must be able to obtain a Tier 2 / Moderate Risk Public Trust clearance and a VA PIV credential. Preferred Qualifications and Certifications: TOGAF certification. SAFe Architect or SAFe Agile Product Manager certification. AWS Certified Solutions Architect. Microsoft Azure Solutions Architect certification. Red Hat Certified Specialist or Architect in OpenShift or cloud-native applications. Certified Information Systems Security Professional (CISSP). Databricks Certified Data Engineer. Certified Kubernetes Administrator (CKA). Equivalent certifications in enterprise architecture, cloud engineering, cybersecurity, data management, or Agile delivery. Experience with healthcare interoperability standards, particularly HL7 and FHIR. Experience integrating inventory, procurement, financial management, ERP, clinical, logistics, warehouse-management, and asset-management systems. Experience with API management, enterprise integration, middleware platforms, and service orchestration. Knowledge of cloud data platforms, data lakes, lakehouses, master data management, and modern ETL/ELT technologies. Experience designing enterprise item, vendor, contract, classification, and reference-data management solutions. Experience integrating external government, regulatory, manufacturer, supplier, vendor-validation, or product-identification data sources. Previous experience in federal, public-sector, healthcare, or other highly regulated environments. Benefits: Annual Salary: $210,000–$250,000, depending on skills, qualifications, professional experience, and location. Eligibility for additional compensation, including performance-based bonuses for applicable positions. Comprehensive healthcare benefits with medical insurance. Dental and vision coverage. Healthcare Savings Account (HSA). Flexible Spending Account (FSA). 401(k) retirement plan with employer matching. Paid life insurance. Short-term and long-term disability coverage. Paid time off (PTO). Paid holidays. Military leave. Remote working options across the United States. Training and professional certification opportunities. Tuition reimbursement program. Employee Assistance Program (EAP). Career development opportunities and internal mobility. Supportive, collaborative, and mission-driven working environment.