Principal Engineer, Storage Data Science and Analytics

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, algorithmic complexity, and multi-threaded / mul -process   programming.   

Generative AI:   Concrete experience building and fine-tuning LLMs, prompt engineering, and   leveraging   vector databases.  

Application Platform design and deployment:   Experience in   building   scalable   data pipeline design , and deployment in a multi-node environment  

Nice to have skills:  

Container Orchestration : Master Kubernetes or equivalent systems to manage containerized workloads dynamically  

Storage Optimization:   Develop predictive, prescriptive, and generative AI models to map data paths, enhance memory/space management, and predict capacity or hardware failure across global enterprise clusters.  

AIOps & Smart Telemetry:   Validate   highly complex , distributed telemetry data from customer storage networks to uncover structured insights that drive automated mitigation and system reliability.  

Experience with   Enterprise Storage   domain    and   C/C++ or system internals is a strong differentiator.  

Soft Skills & Innovation  

Communication:   Exceptional ability to explain highly technical architectural trade-offs, algorithms, and AI solutions clearly to non-technical business leaders and executive management.  

IP Generation:   A proven   track record   of industry innovation, backed by whitepapers, industry conference contributions, or patents in software and analytical design.  

What We Can Offer You:

Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected:

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Job: Engineering Job Level: TCP_05           HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity .

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