Hewlett Packard Enterprise
As a Principal Engineer for Storage Data Science and Analytics at HPE, you will serve as the premier technical authority bridging advanced machine learning, GenAI, and big data analytics with the company's next-generation GreenLake cloud and storage ecosystem. You will lead architectural strategies to operationalize intelligence from vast telemetry data pipelines, designing predictive AI models and high-throughput streaming pipelines to enhance system reliability and capacity management. This role involves cross-functional orchestration with product management and executive leadership to translate complex business challenges into production-ready analytical solutions while mentoring teams across multiple Scrum groups.
Headquarters
The Woodlands, Texas, United States
Company Size
10001+ employees
Founded
1939
Discover HPE edge-to-cloud, enterprise compute IT, data, and security solutions. Learn how HPE empowers digital transformation through AI and sustainability.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Hewlett Packard Enterprise.
Hewlett Packard Enterprise didn’t post a salary, so this is our estimate from similar listings.
9% above the average for this role
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