Presales Storage Architect – Unstructured Data

Hewlett Packard Enterprise

. Partner with customers to architect scalable file and S3 object storage solutions for AI, analytics, and enterprise workloads .

Posted 9/29/2026full-timeWarsaw • PolandSeniorLead💰 PLN 232,000 - PLN 432,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting scalable file and S3 object storage solutions, with a strong focus on AI, analytics, and enterprise workloads. Proficient in sizing storage solutions based on performance, capacity, and data management requirements while effectively communicating technical recommendations to diverse audiences.

Highest-signal resume keywords

Enterprise Storage ArchitectureS3 Object StorageTechnical Presales ExperienceAI and Analytics Data PipelinesCustomer-Facing Consulting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Lifecycle ManagementStorage Performance ConceptsTechnical POCs ExecutionEnterprise File ProtocolsData ProtectionCapacity SizingNetwork Bandwidth AnalysisApplication Integration PatternsData GovernanceHybrid and Multi-Cloud Architectures

Soft Skills

Excellent CommunicationPresentation SkillsProblem-SolvingCustomer EngagementCollaboration

Tools & Technologies

Dell PowerScalePure Storage FlashBladeNetApp ONTAPAWS Storage ServicesAzure Storage ServicesGCP Storage ServicesScalityVAST Data

Industry Keywords

Data ManagementCompetitive AnalysisTechnical PositioningEnterprise File StorageObject Storage Solutions

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 for AI, analytics, and enterprise workloads
Understand application data flows, data lifecycle requirements, and performance characteristics to recommend storage architectures
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
Apply AI inference, RAG, data lake, and analytics pipeline knowledge 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
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
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 executive and deeply 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 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
Experience with one or more enterprise file or object storage platforms is preferred, including Dell PowerScale/ObjectScale, Pure Storage FlashBlade, NetApp ONTAP/StorageGRID, VAST Data, Scality, or other enterprise file or S3-compatible object storage platforms
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

Benefits

Comp & perks

Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work and personal needs management
Inclusive workplace
Disability accommodation support during application/interview process