Remote Storage Architect – AI & Analytics

Hewlett Packard Enterprise

Sydney

Remote

AUD 150,000 - 190,000

Full time

14 days+

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Job summary

Hewlett Packard Enterprise is seeking an experienced Storage Architect focused on unstructured data, AI and analytics workloads. You will design, size, validate, and optimize storage architectures supporting AI inferences, data lakes, and analytics, while leading workshops and POCs for customers.

You will collaborate with product and engineering teams to translate requirements into roadmap priorities and provide technical guidance during presales engagements, with travel as needed for customer

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
7+ years of experience designing, implementing, or supporting enterprise storage and data architectures.
Strong customer-facing architecture, consulting, or presales experience.
Foundational knowledge of S3 object storage: buckets, objects, APIs, authentication, data protection, and integration patterns.
Working knowledge of NFS and SMB.
Experience sizing storage solutions based on capacity, performance, growth, network, and application requirements.
Ability to plan, configure, execute, and troubleshoot technical POCs.
Understanding of AI and analytics data pipelines, including AI inference, RAG, data lakes, and Lakehouse architectures.

Responsibilities

Architect and document enterprise-scale file and object storage solutions.
Lead hands-on POCs validating performance, integration, scalability, and operational requirements.
Size storage environments for performance, capacity, resiliency, and scalability.
Design storage architectures for AI inference, RAG, analytics, and data lake workloads.
Translate customer requirements and field experience into product feedback and roadmap recommendations.
Provide competitive analysis, technical positioning, and solution guidance to sales and technical teams.
Present architectures and technical recommendations to executive and deeply technical audiences.