This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week 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:
About the Role
We are looking for a highly skilled Senior Principal Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will help to define the technical vision, build scalable and reliable data systems, and guide the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.
This role is both strategic and hands-on. You will evaluate modern data technologies, define engineering best practices, and lead the implementation of robust, high-performance data solutions—including the design, build, and lifecycle management of data pipelines that support batch, streaming, and near-real-time workloads.
What You’ll Do
Architecture & Strategy
- Own the architecture direction of our data platform, ensuring scalability, performance, reliability, cost efficiency, and security.
- Define standards and best practices for data modeling, transformation, orchestration, governance, and lifecycle management.
- Evaluate and integrate modern data technologies and frameworks that align with our long-term platform strategy.
- Collaborate with engineering and product leadership to shape the technical roadmap.
Engineering & Delivery
- Design, build, and manage scalable, resilient data pipelines for batch, streaming, and event-driven workloads.
- Develop clean, high-quality data models and schemas to support analytics, BI, operational systems, and ML workflows.
- Implement data quality, lineage, observability, and automated testing frameworks.
- Build ingestion patterns for APIs, event streams, files, and third-party data sources.
- Optimize compute, storage, and transformation layers for performance and cost efficiency.
Leadership & Collaboration
- Serve as the senior technical leader and mentor within the data engineering team.
- Lead architecture reviews, design discussions, and cross-team engineering initiatives.
- Work closely with analysts, data scientists, software engineers, and product owners to define and deliver data solutions.
- Communicate architectural decisions and trade-offs to technical and non-technical stakeholders.
- 12+ years of experience in Data Engineering, with demonstrated architectural ownership.
- Expert-level experience with Snowflake (Or Simmilar DWH tools), including performance optimization, data modeling, security, and ecosystem components.
- Expert proficiency in SQL and strong Python skills for pipeline development and automation.
- Experience with modern orchestration and workflow tools (Spark, DBT, Airflow, Dagster, Prefect, or equivalent).
- Strong understanding of ELT/ETL patterns, distributed processing, and data lifecycle management.
- Expertise with streaming/event technologies (Kafka, Kinesis, Pub/Sub, etc.).
- Experience with machine learning pipelines, feature stores, or MLOps.
- Experience implementing data quality, observability, and lineage solutions.
- Solid understanding of cloud infrastructure (AWS, GCP, or Azure).
- Strong background in DataOps practices: CI/CD, testing, version control, automation.
- Background designing systems for high scale, security, or regulated environments
- Proven leadership in driving architectural direction and mentoring engineering teams.
Nice to Have
- Experience with data governance or metadata management tools.
- Experience with compliance and data certification processes
- Experience with Terraform, CloudFormation, or other IaC tools.
Additional Skills:
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:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
EngineeringJob Level:
TCP_06
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.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Skills Required
- 12+ years of experience in Data Engineering with architectural ownership
- Expert-level experience with Snowflake or similar data warehouse (performance optimization, data modeling, security)
- Expert proficiency in SQL
- Strong Python skills for pipeline development and automation
- Experience with orchestration and workflow tools (Spark, DBT, Airflow, Dagster, Prefect, or equivalent)
- Strong understanding of ELT/ETL patterns, distributed processing, and data lifecycle management
- Expertise with streaming/event technologies (Kafka, Kinesis, Pub/Sub)
- Experience with machine learning pipelines, feature stores, or MLOps
- Experience implementing data quality, observability, and lineage solutions
- Solid understanding of cloud infrastructure (AWS, GCP, or Azure)
- Strong background in DataOps practices: CI/CD, testing, version control, automation
- Background designing systems for high scale, security, or regulated environments
- Proven leadership driving architectural direction and mentoring engineering teams
- Experience with data governance or metadata management tools
- Experience with compliance and data certification processes
- Experience with Terraform, CloudFormation, or other infrastructure-as-code tools
Hewlett Packard Enterprise Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hewlett Packard Enterprise and has not been reviewed or approved by Hewlett Packard Enterprise.
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Parental & Family Support — Policies include up to 26 weeks of fully paid parental leave with options for phased return to work, supplemented by backup care resources. Program materials emphasize broad availability, with specifics varying by country and role.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as Wellness Fridays and 60 hours of paid volunteer time provide additional paid time for rest, community, and flexibility. Hybrid/flexible work and wellbeing resources further reinforce a lifestyle-oriented package.
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Retirement Support — Offerings include a company 401(k) match, an Employee Stock Purchase Plan, and HSA seeding under certain medical plans. These financial benefits are positioned as solid components of the total rewards mix.
Hewlett Packard Enterprise Insights
What We Do
In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology. More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.
