# Tech Arch - Storage Presales

**Company**: Hewlett Packard Enterprise
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Sales
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Sydney-New-South-Wales-Australia/Tech-Arch---Storage-Presales_1215689-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f6a778ac-2c1

## 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, and technical justification.

**Required 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.

**Benefits:**

- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.

- Investment in career development and growth.

- Unconditional inclusion and celebration of individual uniqueness.

## Skills

### Required
- S3 object storage
- NFS
- SMB
- AI inference
- RAG
- data lakes
- analytics pipelines
- storage performance
- data flow
- data lifecycle
- data management

### Nice to have
- AWS
- Azure
- GCP
- hybrid and multi-cloud data architectures
- modern AI and analytics platforms
- vector databases
- embeddings
- retrieval workflows

---

Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Sydney-New-South-Wales-Australia/Tech-Arch---Storage-Presales_1215689-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)