Principal Enterprise Architect – (Google Workspace & AI Integration) @ remote work

Principal Enterprise Architect – Google Workspace & AI Integration

Location: Remote (US)

Scale: 150,000+ Users

Role Summary We are looking for a Technical Transformation Lead to spearhead a massive enterprise shift from Microsoft 365 to Google Workspace and Gemini Enterprise.

As the chief architectural authority, you will own the long-term platform design, security posture, and integration strategy. Your job is to keep the transformation aligned with our core enterprise standards, managing technical governance while overseeing elite external vendors and partners (including Google and major systems integrators).

Key Responsibilities: Design the end-state ecosystem for a 150k+ user base, covering email, identity integration (Entra ID/SSO), data migration (SharePoint to Google Drive), and enterprise-grade data governance.

Serve as the final technical approver for all migration strategies, security configurations (DLP, CAA), and workflow automation approaches (Apps Script, AppSheet).

Act as the primary technical counterpart to external partners. Validate vendor assumptions, review designs, and ensure they deliver clean, sustainable solutions without vendor lock-in.

AI Integration (Gemini Enterprise): Establish technical guardrails, data access boundaries, and connector frameworks for safe, compliant AI and agentic workflow deployment.

Partner with Information Security and Legal teams to ensure seamless, secure coexistence between Microsoft and Google ecosystems during the transition, adhering to strict compliance and eDiscovery standards.

Ideal

Background

10–15+ years in Enterprise Architecture, Infrastructure, or Platform Engineering leadership.

Scale: Proven track record leading massive cloud migrations (ideally 100k+ users).

Deep expertise in Google Workspace, Microsoft 365, Identity Management (Entra ID), Cloud Security, and Enterprise Data Governance.

Familiarity with deploying enterprise AI platforms and managing AI data boundaries.

trong background steering complex, multi-vendor global transformation programs.

Why This Role

Matters

This is a high-visibility, senior leadership position. You will ensure that the organization maintains total architectural control over its digital workplace and AI future, preventing platform fragmentation and ensuring long-term security, scalability, and efficiency.