Storage Architect (Presales) – AI, S3 & Data Lakes (Hybrid)

Hewlett Packard Enterprise; Amstelveen; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Travel opportunities

Résumé du poste

Hewlett Packard Enterprise is seeking an experienced Storage Architect to design and size enterprise storage solutions for AI inference, data lakes, and analytics workloads. You will lead hands‑on POCs, collaborate with product and engineering, and guide customers through complex data lifecycles.

The role emphasizes deep S3 object storage knowledge, NFS/SMB, and a strong customer‑facing presales background.

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.

Responsabilités

• Architect and document enterprise-scale file and object storage solutions.
• Analyse 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.

Connaissances

Enterprise storage architecture

Customer-facing architecture

S3 object storage fundamentals

NFS/SMB knowledge

AI & analytics data pipelines

Presales / solution architecture

Public cloud storage integration

Strong communication

Data governance & protection

Formation

Bachelor’s degree in CS/IT/Engineering or equivalent

Outils

Dell PowerScale/ObjectScale

Pure Storage FlashBlade

NetApp ONTAP/StorageGRID

VAST Data

Scality

Description du poste

Hewlett Packard Enterprise is seeking an experienced Storage Architect to design and size enterprise storage solutions for AI inference, data lakes, and analytics workloads. You will lead hands‑on POCs, collaborate with product and engineering, and guide customers through complex data lifecycles.

The role emphasizes deep S3 object storage knowledge, NFS/SMB, and a strong customer‑facing presales background.