Enterprise Architect, Cloud & Data Leadership for Hybrid San Jose
Overview
Own enterprise architecture across application, data, integration, and infrastructure at scale. Drive patterns, standards, and guardrails for secure, resilient, production-ready systems. Collaborate with business, customer, technical, and leadership stakeholders to shape architectural decisions and outcomes. Work in a hybrid setup with onsite presence in San Jose, CA 3 days a week. This role stands out by combining end-to-end architecture leadership with hands-on cloud and data governance in a fast-paced environment.
What You'll Do10
- 1Define and govern architecture patterns, standards, and guardrails across application, integration, and infrastructure layers
- 2Lead end-to-end architecture for web applications and cloud platforms with scalability, security, and resilience in mind
- 3Guide system integrations and APIs including microservices or event-driven architectures
- 4Support CI/CD, containerization with Docker and Kubernetes, and infrastructure-as-code practices
- 5Architect data solutions bridging application and data layers, including data modeling and warehousing
- 6Advise on AI/ML components, LLM applications, or Generative AI systems within architecture
- 7Present architecture decisions to leadership and cross-functional teams
- 8Navigate ambiguous requirements by partnering with business and customer stakeholders to own architectural outcomes
- 9Collaborate across the full technical stack to translate business needs into scalable architecture solutions
- 10Foster governance and security/privacy practices across architecture artifacts and implementations
Requirements10
- 18+ years in Enterprise Architecture or related field
- 2Experience taking web applications live end-to-end
- 3Strong Data Architecture exposure including data modeling and data processing concepts
- 4Experience defining and governing architecture patterns, standards, and guardrails
- 5Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- 6Experience with API design, system integrations, and microservices/event-driven architectures
- 7CI/CD, containerization with Docker and Kubernetes, and infrastructure-as-code
- 8AI exposure including architecture for AI/ML, LLM, or Generative AI systems
- 9Strong data governance, security, privacy, and access control principles
- 10Excellent communication and stakeholder management skills
Salary Insight
$150 - $200k per year
Location
Required Skills
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