Tech Arch - Storage Presales

Hewlett Packard Enterprise; Sydney; Remote; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Health & Wellbeing benefits

Career development programs

Inclusive culture

Job summary

Hewlett Packard Enterprise is seeking an experienced Storage Architect focused on unstructured data, AI and analytics workloads. You will design, size, validate, and optimize storage architectures supporting AI inferences, data lakes, and analytics, while leading workshops and POCs for customers.

You will collaborate with product and engineering teams to translate requirements into roadmap priorities and provide technical guidance during presales engagements, with travel as needed for customer

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• 7+ years of experience designing, implementing, or supporting enterprise storage and data architectures.
• Strong customer-facing architecture, consulting, or presales experience.
• Foundational knowledge of S3 object storage: buckets, objects, APIs, authentication, data protection, and integration patterns.
• Working knowledge of NFS and SMB.
• Experience sizing storage solutions based on capacity, performance, growth, network, and application requirements.
• Ability to plan, configure, execute, and troubleshoot technical POCs.
• Understanding of AI and analytics data pipelines, including AI inference, RAG, data lakes, and Lakehouse architectures.

Responsibilities

• Architect and document enterprise-scale file and object storage solutions.
• Lead hands-on POCs validating performance, integration, scalability, and operational requirements.
• Size storage environments for performance, capacity, resiliency, and scalability.
• Design storage architectures for AI inference, RAG, analytics, and data lake workloads.
• Translate customer requirements and field experience into product feedback and roadmap recommendations.
• Provide competitive analysis, technical positioning, and solution guidance to sales and technical teams.
• Present architectures and technical recommendations to executive and deeply technical audiences.

Skills

Storage architecture

S3 object storage

NFS/SMB familiarity

Customer-facing

POCs / proofs of concept

AI/Analytics data pipelines

Presales experience

Education

Bachelor's degree in CS/IT/Engineering

Job description

Tech Arch - Storage Presales. This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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, 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.

AI & Analytics Skills

• AI inference and RAG architectures
• Vector databases, embeddings, and retrieval workflows
• Data lakes and Lakehouse architectures
• Analytics platforms and distributed query engines
• GPU‑based infrastructure and AI data pipelines
• High‑throughput data ingestion and processing
• S3‑based application architectures
• Data movement between compute, storage, cloud, and AI platforms
• Performance characterization and workload benchmarking

Storage Technologies & Platforms

• Dell PowerScale / ObjectScale
• Pure Storage FlashBlade
• NetApp ONTAP / StorageGRID
• VAST Data
• Scality
• Other enterprise file or S3‑compatible object storage platforms

Cloud & Competitive Skills

• Familiarity with AWS, Azure, and GCP storage services and integration patterns.
• Understanding of hybrid and multi‑cloud data architectures.
• Knowledge of modern AI and analytics platforms and their storage requirements.
• Strong awareness of the competitive enterprise file and object storage landscape.
• Experience in technical presales, consulting, solution architecture, or customer advisory roles.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

• Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #australia #storage

Job: Sales Job Level: TCP_04

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We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

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HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

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