Solution Architect

Designs end-to-end solutions across Azure, enterprise systems, data, integration, and AI enablement. Owns architecture integrity from concept through implementation, balancing security, maintainability, cost, and real-world operating constraints. This person must be credible in ERP-heavy environments and able to support ERP evaluation with architectural due diligence. Azure architecture across identity, networking, security, integration, and data services Enterprise integration patterns and pragmatic systems design Data platform and analytics design, including AI readiness patterns Architecture communication that works for engineers and executive stakeholders Strong bias toward operability, maintainability, and documentation Familiarity with AI enabled developed (e.g., Claude Code, GitHub Copilot, OpenAI Codex, etc.) Technical Background Must have Deep Azure experience: identity and access, networking, security baseline, integration approaches, and data platform components. Ability to evaluate and compare ERP architecture pathways without anchoring to one vendor or one "preferred pattern". Bonus if having Experience with JD Edwards EnterpriseOne (E1) integration, reporting, and modernization constraints. Familiarity with NEOGOV or similar HR/workforce workflow systems. ERP Evaluation Experience Has supported ERP evaluations by producing the technical lens: integration complexity, data migration strategy, security model, reporting approach, cutover feasibility, and supportability. Can articulate hidden cost drivers: interface sprawl, customization debt, master data issues, duplicated reporting, and operating model gaps. #J-18808-Ljbffr