Tech Architect – Storage Presales

Hewlett Packard Enterprise

. Partner with customers to architect scalable file and S3 object storage solutions .

Posted 9/30/2026full-timeRemote • AustraliaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable file and S3 object storage solutions, with a strong focus on data architecture, performance optimization, and customer engagement. Proficient in leading technical workshops and translating customer requirements into actionable solutions.

Highest-signal resume keywords

Enterprise Storage ArchitectureS3 Object StorageTechnical Presales ExperienceData Lifecycle ManagementAI Inference and Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DesignStorage Solution SizingTechnical POC ExecutionNFS and SMB KnowledgeData Protection TechniquesPerformance OptimizationApplication Integration PatternsMetadata Performance AnalysisHybrid and Multi-Cloud ArchitecturesLarge-Scale Analytics Workloads

Soft Skills

Excellent CommunicationPresentation SkillsProblem-Solving AbilitiesCustomer-Facing ConsultingCollaboration

Tools & Technologies

AWS Storage ServicesAzure Storage ServicesGCP Storage ServicesEnterprise File Storage PlatformsObject Storage Platforms

Industry Keywords

Data LakesAI InferenceRAGTechnical WorkshopsCompetitive Analysis

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNFS

About the role

Key responsibilities & impact

Partner with customers to architect scalable file and S3 object storage solutions
Analyze application data flows, data lifecycle requirements, workloads, growth patterns, and performance characteristics
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, data lakes, and enterprise workloads
Help customers understand how data is ingested, stored, processed, protected, moved, governed, and consumed
Architect and document enterprise-scale file and object storage solutions
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

What you’ll need

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 architectures, and large-scale analytics workloads
Understanding of data flow, lifecycle, management, protection, governance, and application consumption
Knowledge 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 is preferred
Familiarity with AWS, Azure, and GCP storage services is a strong plus
Understanding of hybrid and multi-cloud data architectures
Knowledge of modern AI and analytics platforms and storage requirements
Awareness of the competitive enterprise file and object storage landscape
Experience in technical presales, consulting, solution architecture, or customer advisory roles

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Career development opportunities
Flexible work and personal needs management
Inclusive and accessible workplace
Reasonable accommodation during the application or interview process