Presales Storage Architect – Unstructured Data

Stack

Responsibilities

• ▹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 the right storage architecture
• ▹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 (POCs)
• ▹Provide subject matter expertise in S3 object storage and foundational knowledge of NFS and SMB
• ▹Apply knowledge of AI inference, RAG, data lakes and analytics pipelines 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
• ▹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, considering 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
• ▹Travel as needed to support customers, partners and strategic opportunities

Requirements

• ▹7+ years of experience designing, implementing or supporting enterprise storage and data architectures
• ▹Bachelor's degree in Computer Science, Information Technology, Engineering or a 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/lakehouses and large-scale analytics workloads
• ▹Ability to discuss storage in the 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

Nice to have

• ▹Experience with several of: AI inference and RAG architectures, vector databases, embeddings and retrieval workflows, data lakes and lakehouse architectures, analytics platforms and distributed query engines, GPU-based infrastructure and AI data pipelines, high-throughput data ingestion and processing, S3-based application architectures, data movement between compute, storage, cloud and AI platforms, performance characterization and workload benchmarking
• ▹Experience with one or more enterprise file or object storage platforms: Dell PowerScale / ObjectScale, Pure Storage FlashBlade, NetApp ONTAP / StorageGRID, VAST Data, Scality or other S3-compatible 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

Soft skills

What we offer

• ▹Hybrid working: on average 2 days per week from an HPE office
• ▹Health and wellbeing: comprehensive benefits for team members and their loved ones
• ▹Personal and professional development programs, including moves to other divisions
• ▹Inclusive and flexible work culture

About the company

Hewlett Packard Enterprise is a global edge-to-cloud company helping organizations connect, protect and analyze their data and applications from edge to cloud. The Data Solutions team helps Swiss organizations modernize and protect their data.