Presales Storage Architect for Unstructured Data & AI

hpe; Lavamünd; Remote; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Hewlett Packard Enterprise seeks an experienced Storage Architect focused on unstructured data, AI and analytics workloads. You will architect scalable file and S3 object storage for AI inference, RAG, data lakes, and analytics pipelines, while guiding customers on data movement, protection and governance across modern data platforms.

You will size solutions, lead hands-on POCs, and collaborate with product and engineering to shape roadmaps.

Qualifikationen

• 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.

Aufgaben

• Architect enterprise-scale file and object storage solutions for AI, analytics, and enterprise workloads.
• 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.

Kenntnisse

Storage architecture

S3 object storage

NFS/SMB

AI data pipelines

Customer-facing

POCs

Ausbildung

Bachelor's degree in CS/IT/Engineering

Tools

Dell PowerScale/ObjectScale

Pure Storage FlashBlade

NetApp ONTAP/StorageGRID

VAST Data

Scality

Other S3 storage platforms

Jobbeschreibung

Hewlett Packard Enterprise seeks an experienced Storage Architect focused on unstructured data, AI and analytics workloads. You will architect scalable file and S3 object storage for AI inference, RAG, data lakes, and analytics pipelines, while guiding customers on data movement, protection and governance across modern data platforms.

You will size solutions, lead hands-on POCs, and collaborate with product and engineering to shape roadmaps.