Principal Enterprise Architect
Pure StorageSanta Clara, California
Full Time
Posted February 24, 2026
$199k - $299k
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Application opens on company website
Job Description
The role involves leading the architectural design and strategic development of AI GenAI platforms, data analytics ecosystems, and cloud solutions to drive digital transformation and innovation within the organization.
Key Responsibilities
- Define and evolve the enterprise AI GenAI platform architecture and shared services.
- Develop reusable architectural blueprints for GenAI solutions and observability standards.
- Partner with security, privacy, and risk teams to integrate ethical AI guardrails and data policies.
- Modernize data analytics architecture to enhance data quality, lineage, and access for AI initiatives.
- Guide domain architects in creating multi-year technology roadmaps aligned with business goals.
- Facilitate architecture reviews, evaluate technologies, and establish standards for engineering teams.
- Influence technical direction across the organization through enterprise, domain, or solution architecture.
- Build and deploy scalable AI GenAI solutions from concept to production environments.
- Apply enterprise architecture frameworks to align technology strategies with business objectives.
- Leverage technical expertise in AI GenAI platforms, data stacks, and cloud infrastructure to support architectural decisions.
Requirements
- Minimum of 10 years of architecture experience across Enterprise Architecture, Business Architecture, and Solution Architecture.
- Extensive experience in enterprise, domain, or solution architecture, with a proven ability to influence technical direction across a large organization.
- Demonstrated success in building and rolling out scalable AI GenAI solutions from initial concept to production environments.
- Familiarity with enterprise architecture frameworks and practices such as TOGAF, Zachman, capability-based planning, and reference architecture used to align technology with business goals.
- Deep expertise in at least one of the following areas: AI GenAI LLM platforms (e.g., OpenAI, Bedrock, Vertex AI), orchestration tools like LangChain or LlamaIndex, or vector search technologies.
- Experience with modern data stacks such as Snowflake, Databricks, streaming Kafka, or data governance tools.
- Experience with public cloud providers including AWS, Azure, or GCP, as well as container orchestration with Kubernetes and Infrastructure as Code tools like Terraform.
- Ability to translate complex technical concepts into clear business value and foster connections across global teams.
- Experience using architecture visualization tools such as Ardoq, LeanIX, or Abacus to document and communicate complex ecosystems.
- Bachelor's or Master's degree in engineering or computer science.
Benefits & Perks
Salary range of $199,000 to $299,000 annually, potentially including incentive pay and equity
Flexible work arrangements
Continuous professional development opportunities
Supportive team environment with team-building events
Wellness resources
Flexible time off
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