Tech Architect – Storage Presales

🔥 56 minutes ago

🇦🇺 Australia – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔍 Pre-sales Engineer

👻 Ghost score 10%

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Hewlett Packard Enterprise

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Partner with customers to architect scalable file and S3 object storage solutions for AI, analytics, and enterprise workloads • Analyze application data flows, data lifecycle requirements, workloads, growth patterns, and performance characteristics • Recommend and document appropriate storage architectures • Size storage solutions for capacity, throughput, latency, network bandwidth, growth, availability, performance, resiliency, and scalability • Lead technical workshops, assessments, benchmarks, and hands-on proofs of concept • Plan, configure, execute, and troubleshoot technical POCs • Design storage architectures for AI inference, RAG, analytics, and data lake workloads • Help customers understand how data is ingested, stored, processed, protected, moved, governed, and consumed • Collaborate with product management and engineering to translate customer requirements into product and roadmap priorities • Provide competitive analysis, technical positioning, and solution guidance to sales and technical teams • Present architectures and technical recommendations to executive and technical audiences • Support strategic presales engagements, RFIs/RFPs, solution sizing, and technical justification • Travel as needed to support customers, partners, and strategic opportunities

🎯 Requirements

• 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 application 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 inference, RAG, vector databases, data lakes/Lakehouse’s, and large-scale analytics workloads • Understanding of data flow, data lifecycle, data management, protection, governance, and application consumption • Strong understanding of 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 • Experience with enterprise file or object storage platforms such as Dell PowerScale/ObjectScale, Pure Storage FlashBlade, NetApp ONTAP/StorageGRID, VAST Data, Scality, or other enterprise file or S3-compatible object storage platforms preferred • 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 • Awareness of the competitive enterprise file and object storage landscape • Experience in technical presales, consulting, solution architecture, or customer advisory roles

🏖️ Benefits

• Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Career development opportunities to become a subject matter expert or move to another division • Remote/teleworker arrangement, primarily working from home • Inclusive and accessible workplace • Reasonable accommodation during the application or interview process for applicants with disabilities