AI & Analytics Storage Architect — Presales

Hewlett Packard Enterprise Development LP; Warszawa; On-site; PLN 290,000 - 540,000; Full time

Job summary

Hewlett Packard Enterprise Development LP in Warsaw, Poland is seeking an experienced Storage Architect specializing in unstructured data, AI, and analytics workloads. You will design and size enterprise storage for AI inference, RAG, data lakes, and analytics pipelines, lead hands-on POCs, and translate customer requirements into product feedback and roadmap priorities.

Travel to client sites as needed and collaborate with product management and engineering to deliver scalable storage solutions

Qualifications

• 7+ years designing, implementing, or supporting enterprise storage architectures.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• Strong customer-facing architecture, consulting, or presales experience.

Responsibilities

• 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 hands-on POCs validating performance, integration, scalability, and operational requirements.
• Design storage architectures for AI inference, RAG and data lakes.
• Translate customer requirements into actionable product feedback and roadmap recommendations.
• Provide competitive analysis and solution guidance to sales and engineering teams.
• Present architectures to executive and technical audiences.

Skills

Storage architecture

Customer-facing

Presales experience

S3 object storage

NFS & SMB

AI & analytics pipelines

Data lakes / Lakehouse

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 in Warsaw, Poland is seeking an experienced Storage Architect specializing in unstructured data, AI, and analytics workloads. You will design and size enterprise storage for AI inference, RAG, data lakes, and analytics pipelines, lead hands-on POCs, and translate customer requirements into product feedback and roadmap priorities.

Travel to client sites as needed and collaborate with product management and engineering to deliver scalable storage solutions