Tech Arch - Storage Presales

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.

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.