Jobs / United States / Hewlett Packard Enterprise Company
Presales Storage Architect – Unstructured Data
Hewlett Packard Enterprise Company · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 486 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 167 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Hewlett Packard Enterprise Company paid sponsored hires in similar roles3 certified filings for “Presales, Systems Engineer II” (Computer Network Architects) in VA: $110k–$163k, median $135k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Hewlett Packard Enterprise Company
The US Department of Labor certified 486 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 167 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Hewlett Packard Enterprise Company →
About the role
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. 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. 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. Key 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,