# Principal Engineer, Storage Data Science and Analytics

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Principal-Engineer--Storage-Data-Science-and-Analytics_1209022-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1388082c-30c

## Description

We are seeking a Principal Engineer for Data Science & Analytics to 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).

As a Principal Engineer for Data Science & Analytics, 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.

Responsibilities:

- Define the organization-wide data architecture strategy and analytical roadmaps for software systems running across HPE's hybrid cloud platform.

- Design, deploy, and scale machine learning and deep learning code to run reliably in worldwide production edge-to-cloud environments.

- Collaborate with data engineering to establish standardized ELT patterns, big data storage views, and high-throughput, low-latency streaming pipelines.

- Integrate advanced LLM workflows, Retrieval-Augmented Generation (RAG), and agentic systems into storage customer support analytics and digital products to automate troubleshooting.

- Partner with product management, storage hardware engineers, and business executives to translate abstract business challenges into production-ready analytical solutions.

- Provide career guidance, conduct design reviews, and actively mentor senior engineers and data scientists across multiple Scrum teams.

Requirements:

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a highly technical, data-oriented discipline.

- 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.

- Advanced mastery of machine learning algorithms and deep learning frameworks.

- Expert Python/Go-lang programmer with strong working knowledge of data structures, algorithmic complexity, and multi-threaded/multi-process programming.

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

Benefits:

- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.

- Investment in your career with programs catered to helping you reach your career goals.

- Unconditionally inclusive work environment that celebrates individual uniqueness.

## Skills

### Required
- machine learning
- deep learning
- Python
- Go-lang
- data structures
- algorithmic complexity
- multi-threaded programming
- multi-process programming
- LLMs
- prompt engineering
- vector databases

### Nice to have
- Container Orchestration
- Kubernetes
- Storage Optimization
- AIOps
- Smart Telemetry
- C/C++
- system internals

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Principal-Engineer--Storage-Data-Science-and-Analytics_1209022-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)