# X10K Presales Benelux **Company**: Hewlett Packard Enterprise **Location**: Amstelveen, North Holland **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: IT **Industry**: Technology **Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Amstelveen-North-Holland-Netherlands/X10K-Presales-Benelux_1215677-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f2755950-6ed ## Description We’re seeking an experienced Storage Architect with strong expertise in unstructured data, AI and analytics workloads, and modern file and object storage architectures. This is a highly visible, customer-facing role with significant influence on solution design, customer adoption, and product strategy. The ideal candidate combines deep storage fundamentals with a strong understanding of how data moves through modern AI and analytics environments. You will help customers design, size, validate, and optimize storage architectures supporting AI inference, Retrieval-Augmented Generation (RAG), analytics, data lakes, and other data-intensive workloads. **Role Overview:** As a Storage Architect – Unstructured Data, AI & Analytics, you will: - 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 strong 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. - Travel as needed to support customers, partners, and strategic opportunities. **Key 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 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. **Required 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. **AI & Analytics Skills** Strong candidates will have experience with several of the following: - 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 **Storage Technologies & Platforms** Experience with one or more enterprise file or object storage platforms is preferred, including: - Dell PowerScale / ObjectScale - Pure Storage FlashBlade - NetApp ONTAP / StorageGRID - VAST Data - Scality - Other enterprise file or S3-compatible object storage platforms **Cloud & Competitive Skills** Strong pluses include: - 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. ## Skills ### Required - S3 object storage - NFS - SMB - AI inference - RAG - data lakes - analytics pipelines - storage performance - data flow - data lifecycle - data management ### Nice to have - AWS - Azure - GCP - hybrid and multi-cloud data architectures - modern AI and analytics platforms --- Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Amstelveen-North-Holland-Netherlands/X10K-Presales-Benelux_1215677-3?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)