Unstructured Data Storage Architect - AI & Presales

Hewlett Packard Enterprise Development LP; Zürich; Hybrid; CHF 140,000 - 190,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

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Job summary

Hewlett Packard Enterprise Development LP invites applications for a Storage Architect focused on unstructured data, AI, and analytics. The role blends design, sizing, and hands-on POCs for scalable file and S3 object storage. You will translate customer needs into practical storage architectures and collaborate with product teams.

The position requires strong knowledge of AI pipelines, RAG, data lakes, and storage performance concepts, with travel as needed to support customers.

Qualifications

• 7+ years designing or implementing enterprise storage/data architectures.
• Strong knowledge of S3 object storage, including buckets, APIs, authentication, and data protection.
• Experience with NFS/SMB and data movement across compute/storage.

Responsibilities

• Architect scalable file and object storage solutions for AI, analytics, and enterprise workloads.
• Size storage environments for performance, capacity, resiliency, and scalability.
• Lead hands-on POCs and performance benchmarking.
• Provide tech guidance to sales and internal teams and translate customer requirements into roadmap input.

Skills

AI inference integration

RAG architectures

Vector databases

Data lakes / Lakehouse

Analytics platforms

GPU-based AI pipelines

High-throughput ingestion

S3-based architectures

Performance benchmarking

Education

Bachelor's degree in CS/IT/Engineering

Tools

Dell PowerScale / ObjectScale

Pure Storage FlashBlade

NetApp ONTAP / StorageGRID

VAST Data

Scality

Job description

Hewlett Packard Enterprise Development LP invites applications for a Storage Architect focused on unstructured data, AI, and analytics. The role blends design, sizing, and hands-on POCs for scalable file and S3 object storage. You will translate customer needs into practical storage architectures and collaborate with product teams.

The position requires strong knowledge of AI pipelines, RAG, data lakes, and storage performance concepts, with travel as needed to support customers.