Principal Enterprise Architect

Pure Storage•Santa Clara, CA

13h

About The Position

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.

Requirements

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

Responsibilities

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.