Remote Storage Architect – AI, Analytics & POC Lead

Hewlett Packard Enterprise

United States

Remote

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Hewlett Packard Enterprise is seeking an experienced Storage Architect to design scalable file and S3 object storage for AI, analytics, and enterprise workloads. You will lead workshops, size deployments, and validate solutions for performance and scalability.

In this role you will translate customer needs into architectural roadmaps, collaborate with product teams, and present technical recommendations to executives and technical audiences. Remote work is supported with occasional travel.

Qualifications

7+ years of experience designing, implementing, or supporting enterprise storage and data architectures.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent practical experience.
Strong customer-facing architecture, consulting, or presales experience.
Strong foundational knowledge of S3 object storage, including buckets, objects, APIs, authentication, data protection, and common application integration patterns.
Working knowledge of enterprise file protocols, particularly NFS and SMB.
Experience sizing storage solutions based on capacity, performance, growth, network, and application requirements.
Demonstrated ability to plan, configure, execute, and troubleshoot technical POCs.
Understanding of modern AI and analytics data pipelines, including AI inference, RAG, vector databases, data lakes/Lakehouse’s, and large‑scale analytics workloads.
Ability to discuss storage within the broader context of data flow, data lifecycle, data management, protection, governance, and application consumption.
Strong understanding of storage performance concepts including throughput, latency, IOPS, metadata performance, concurrency, and network bandwidth.
Excellent communication, presentation, troubleshooting, and problem‑solving skills.
Willingness and ability to travel for customer engagements.

Responsibilities

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 engagements, RFIs/RFPs, solution sizing, and technical justification.