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.
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 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.
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.
Benefits:
- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Investment in career development and growth.
- Unconditional inclusion and celebration of individual uniqueness.