# Principal Engineer, Storage Data Science and Analytics at Hewlett Packard Enterprise

Hewlett Packard Enterprise is hiring a Principal Engineer, Storage Data Science and Analytics in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Hewlett Packard Enterprise](https://jobsbylevel.com/go/0f7eb5b1-8d99-4826-8875-9c118769e6d6?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Bengaluru, Karnātaka, India.

## Details

- Company: [Hewlett Packard Enterprise](https://jobsbylevel.com/companies/hewlett-packard-enterprise)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Bengaluru, Karnātaka, India
- Posted: August 11, 2026
- Apply: https://jobsbylevel.com/go/0f7eb5b1-8d99-4826-8875-9c118769e6d6?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-engineer-storage-data-science-and-analytics-at-hewlett-packard-enterprise-b60b2f

## Prepare for this job

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## Description

Principal Engineer, Storage Data Science and Analytics This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE . This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you. Technical Leadership & Strategy What you’ll do As a Principal Engineer for Data Science & Analytics, you will serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with HPE's next-generation cloud and storage ecosystem (HPE GreenLake and hybrid cloud). In this role, you will lead the architectural strategy to extract, analyze, and operationalize intelligence from vast telemetry data pipelines generated by enterprise file , block, and object storage systems. Your work will directly impact time-to-market, cost reduction, and predictive data management frameworks (including AIOps, predictive infrastructure failure, storage deduplication, and quality of service tuning). What you need to bring Architectural Vision: Define the organization-wide data architecture strategy and analytical roadmaps for software systems running across HPE’s hybrid cloud platform . Engineering & Model Development Scale & Deploy: Design, deploy, and scale machine learning and deep learning code to run reliably in worldwid e production edge-to-cloud environments. Pipeline Design: Collaborate with data engineering to establish standardized ELT patterns, big data storage views, and high-throughput, low-latency streaming pipelines (supporting Kafka, Spark, etc.). Generative AI & Agentic Workflows: Integrate advanced LLM workflows, Retrieval-Augmented Generation (RAG), and agentic systems into storage customer support analytics and digital products to automate troubleshooting. Collaboration & Governance Cross-Functional Orchestration: Partner with product management, storage hardware engineers, and business executives to translate abstract business challenges into production-ready analytical solutions. Mentorship & Culture: Provide career guidance, conduct design reviews, and actively mentor senior engineers and data scientists across multiple Scrum teams to foster an innovative technical community. Core Requirements & Qualifications Education & Experience Education: Bachelor’s or Master’s degree in Computer Science , Data Science, Engineering, Mathematics, or a highly technical, data-oriented discipline. Experience: 10+ years of proven industry experience in software product development or enterprise data science, with a heavy emphasis on distributed systems, storage, or cloud infrastructure architectures. Must Have Skills & Technical Proficiency Core Data Science & ML: Advanced mastery of machine learning algorithms (time-series forecasting, clustering, anomaly detection, random forests) and deep learning frameworks. Programming & Systems: Expert Python/Go-lang programmer. Strong working knowledge of data structures,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-engineer-storage-data-science-and-analytics-at-hewlett-packard-enterprise-b60b2f

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