Principal Enterprise Technology Architect

Обязанности

• 01Lead technical discovery for all major system initiatives, producing high-fidelity artifacts — ERDs, system context diagrams, data flow maps, and sequence diagrams — that serve as the source of truth for implementation
• 02Assess current platform limitations and define the path forward, including when to optimize, when to re-platform, and when to build a custom integration layer
• 03Serve as the primary technical evaluator during software procurement, vetting vendors on API robustness, data model flexibility, and security compliance — not just features
• 04Identify and document integration debt across the current-state architecture and develop a prioritized roadmap to address it
• 05Participate in Architecture Review Board discussions, ensuring major system changes align with enterprise standards and reference architecture
• 06Partner with platform SMEs and administrators to define a unified approach to master data across the organization
• 07Partner with the IT Architect and platform SMEs who own our iPaaS integration environment today, co-developing reusable integration patterns, error-handling frameworks, and self-healing workflows that raise the bar without displacing existing ownership
• 08Drive integration architecture toward API-first, event-driven patterns (REST, webhooks/pub-sub) where they improve reliability and reduce latency over batch processing
• 09Define how internal systems authenticate and communicate, with strict enforcement of secure API standards (OAuth 2.0, REST/SOAP) across all integrations
• 10Partner with the AI & Automation Staff Engineer to identify high-value opportunities to embed AI into Crusoe's enterprise systems — workflow automation, intelligent document processing, enterprise copilots, and natural-language interfaces to platforms — contributing enterprise-systems and data-model expertise to their design
• 11Contribute enterprise-architecture perspective to the AI & Automation team's evaluation of agentic AI, RAG, LLM integration patterns, and orchestration frameworks (including MCP); co-develop governance standards for their use within enterprise systems alongside the AI & Automation Staff Engineer, who owns AI governance
• 12Partner with InfoSec and Data teams to ensure AI-enabled workflows meet data privacy, security, and audit requirements
• 13Work alongside a team of experienced senior system administrators across Oracle, Procore, Coupa, Rippling, and other platforms — serving as the go-to architecture and integration resource