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, Git Hub Copilot, OpenAI Codex, etc.)

• 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.”

• Experience with JD Edwards Enterprise One (E1) integration, reporting, and modernization constraints.
• Familiarity with NEOGOV or similar HR/workforce workflow systems.

• 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.