Description
Hewlett Packard Enterprise is seeking an experienced Storage Architect with strong expertise in unstructured data, AI and analytics workloads, and modern file and object storage architectures. As a Presales Storage Architect – Unstructured Data, you will partner with customers to architect scalable file and S3 object storage solutions for AI, analytics, and enterprise workloads. Your responsibilities will include:
- Understanding application data flows, data lifecycle requirements, and performance characteristics to recommend the right storage architecture.
- Sizing storage solutions based on capacity, throughput, latency, network bandwidth, growth, availability, and workload requirements.
- Leading technical workshops, assessments, benchmarks, and hands-on proofs of concept (POCs).
- Providing strong subject matter expertise in S3 object storage and foundational knowledge of NFS and SMB.
- Applying knowledge of AI inference, RAG, data lakes, and analytics pipelines to storage architecture and design decisions.
- Collaborating with product management and engineering to translate customer requirements into product and roadmap priorities.
- Bringing competitive knowledge and market awareness to customer discussions and internal strategy.
- Traveling as needed to support customers, partners, and strategic opportunities.
The ideal candidate will have:
- 7+ years of experience designing, implementing, or supporting enterprise storage and data architectures.
- A 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.
In terms of benefits, Hewlett Packard Enterprise offers:
- A comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Investment in career development and growth.
- An inclusive and flexible work environment that values diversity and individual uniqueness.