Presales Storage Architect – Unstructured Data

Presales Storage Architect – Unstructured Data This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
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* Who We Are:

** Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
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* Job Description:

** We’re seeking an experienced Storage Architect with strong expertise in unstructured data, AI and analytics workloads, and modern file and object storage architectures. This is a highly visible, customer-facing role with significant influence on solution design, customer adoption, and product strategy.  The ideal candidate combines deep storage fundamentals with a strong understanding of how data moves through modern AI and analytics environments.

You will help customers design, size, validate, and optimize storage architectures supporting AI inference, Retrieval-Augmented Generation (RAG), analytics, data lakes, and other data-intensive workloads.  
*** Role Overview:**
* ** As a Storage Architect – Unstructured Data, AI & Analytics, you will:
*** Partner with customers to architect scalable file and S3 object storage solutions for AI, analytics, and enterprise workloads.
* Understand application data flows, data lifecycle requirements, and performance characteristics to recommend the right storage architecture.
* Size storage solutions based on capacity, throughput, latency, network bandwidth, growth, availability, and workload requirements.
* Lead technical workshops, assessments, benchmarks, and hands-on proofs of concept (POCs).
* Provide strong subject matter expertise in S3 object storage and foundational knowledge of NFS and SMB.
* Apply knowledge of AI inference, RAG, data lakes, and analytics pipelines to storage architecture and design decisions.
* Collaborate with product management and engineering to translate customer requirements into product and roadmap priorities.
* Bring competitive knowledge and market awareness to customer discussions and internal strategy.
* Travel as needed to support customers, partners, and strategic opportunities.  
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* Key Responsibilities:

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* * Architect and document enterprise-scale file and object storage solutions.
* Analyze customer data flows, workloads, growth patterns, and data management requirements.
* Size storage environments for performance, capacity, resiliency, and scalability.
* Lead and execute hands-on POCs validating performance, integration, scalability, and operational requirements.
* Design storage architectures for AI inference, RAG, analytics, and data lake workloads, with consideration for throughput, latency, metadata, network design, and data accessibility.
* Help customers understand how data is ingested, stored, processed, protected, moved, governed, and consumed across modern data pipelines.
* Translate customer requirements and field experience into actionable product feedback and roadmap recommendations.
* Provide competitive analysis, technical positioning, and solution guidance to sales and technical teams.
* Present architectures and technical recommendations to both executive and deeply technical audiences.
* Support strategic presales…