Senior Enterprise Architect – AI-Driven Platform & Data

Turing

United States

Remote

USD 150,000 - 210,000

Full time

2 days ago
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Job summary

Re:Build in the United States is seeking an Enterprise Architect to define, govern, and realize the organization’s architecture across business, data, application, and technology domains. This senior role focuses on secure, scalable, and cost-efficient solutions aligned with strategic objectives.

You will lead capability maps, data governance, API-first patterns, and governance standards while applying responsible AI and DevSecOps practices.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
  • 10+ years of progressively responsible experience in enterprise, solution, data, application, or platform architecture.
  • Pragmatic application of EA frameworks (e.g., TOGAF, Zachman).
  • Experience applying AI for architectural telemetry and governance.

Responsibilities

  • Define, govern, and realize enterprise architecture across business, data, application, and technology domains.
  • Collaborate with business leaders and technical teams to translate strategy into actionable roadmaps.
  • Lead architecture reviews, guardrails, threat modeling, and security-by-design initiatives.
  • Develop roadmaps and implement plans with measurable business value.
  • Advise senior leadership on modernization and platform strategy.

Skills

Enterprise architecture
AI in architecture
Security-by-design
DevSecOps
Cloud-native
Governance
Threat modeling
Architecture leadership

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
Advanced degree preferred

Tools

TOGAF
Zachman

Job description

Re:Build in the United States is seeking an Enterprise Architect to define, govern, and realize the organization’s architecture across business, data, application, and technology domains. This senior role focuses on secure, scalable, and cost-efficient solutions aligned with strategic objectives.

You will lead capability maps, data governance, API-first patterns, and governance standards while applying responsible AI and DevSecOps practices.

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