Principal Enterprise Architect

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

Pure Storage is seeking an experienced Principal Enterprise Architect to join our Digital Transformation Group (DTG). The DTG is a collaborative team dedicated to accelerating business outcomes through modern technology.

In this role, you will be the primary architect shaping our AI/GenAI foundations, strategy, and scalability. While AI is the primary focus, you will also play a key role in evolving our Data & Analytics ecosystem and providing technical guidance across cloud engineering, security, and custom application development. This position balances high-level strategic planning with the practical creation of architectural patterns and prototypes.

What You Will Do

• Architectural Vision: Define and evolve the enterprise AI/GenAI platform architecture, including shared services and operating models that support innovation.
• Pattern Development: Establish reusable blueprints for GenAI, such as Retrieval-Augmented Generation (RAG), agent workflows, and observability standards.
• Responsible Innovation: Partner with Security, Privacy, and Risk teams to integrate ethical AI guardrails, ensuring robust data handling and policy controls.
• Data Foundations: Modernize Data & Analytics architecture to improve quality, lineage, and access, serving as the essential foundation for AI success.
• Collaborative Leadership: Guide Domain Architects in creating multi-year roadmaps that align technology capabilities with long-term business vision.
• Standards of Excellence: Facilitate architecture reviews and technology evaluations, publishing standards that empower engineering teams to build efficiently.

What You Will Bring

We value diverse perspectives and encourage applications from individuals who may not meet every single criteria but possess the foundational skills and a growth mindset.

• Minimum of 10 years of architecture experience across Enterprise Architecture, Business Architecture and Solution Architecture
• Architectural Expertise: Extensive experience in enterprise, domain, or solution architecture, with a proven ability to influence technical direction across a large organization.
• AI Implementation: Demonstrated success in building and rolling out scalable AI/GenAI solutions from initial concept to production environments.
• Strategic EA Practices: Familiarity with enterprise architecture frameworks and practices (such as TOGAF, Zackman, capability-based planning, reference architecture, etc.) used to align technology with business goals.
• Technical Breadth: Deep expertise in at least one of the following areas, with a functional understanding of the others:
• AI/GenAI: LLM platforms (OpenAI, Bedrock, Vertex AI), orchestration (LangChain, LlamaIndex), or vector search technologies.
• Data & Analytics: Modern data stacks (Snowflake, Databricks), streaming (Kafka), or data governance tools.
• Cloud & Platform: Public cloud providers (AWS, Azure, or GCP), container orchestration (Kubernetes), and Infrastructure as Code (Terraform).
• Analytical Problem Solving: A practical approach to decision-making within fast-paced, Agile environments.
• Communication: Ability to translate complex technical concepts into clear business value and foster connections across global teams.
• Tools: Experience using architecture visualization tools (e.g., Ardoq, LeanIX, Abacus) to document and communicate complex ecosystems.
• Bachelors or Masters degree in engineering or computer science

Why Pure Storage?

We believe that innovation is powered by a sense of belonging. Pure Storage is committed to creating an inclusive environment where all employees can thrive. We offer flexible work arrangements, continuous professional development, and the opportunity to work at the forefront of the AI revolution.

Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor m