Principal Data Engineer

This role has been designed as 'Hybrid' with a requirement 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

Principal Data Engineer

Location: Israel

Type: Permanent - Full time

About The Role

We are seeking an experienced and forward-thinking Principal Data Engineer to lead the design and evolution of our next-generation data platform. This is a strategic, hands-on role for a technical leader who is passionate about building scalable, reliable, and high-performing data solutions that enable analytics, operational decision-making, and data-driven products across the organisation.

As a Principal Data Engineer, you will define the technical vision for our data ecosystem, establish engineering standards and best practices, and provide architectural leadership across the data platform. You will work closely with engineering, product, analytics, and business stakeholders to ensure our data capabilities continue to support current and future business needs.

What You'll Be Doing

Architecture & Strategy

• Lead the architecture and long-term evolution of our enterprise data platform.
• Define best practices for data modelling, transformation, orchestration, governance, and lifecycle management.
• Evaluate and implement modern data technologies, tools, and frameworks that support our strategic objectives.
• Partner with engineering and product leaders to shape the technical roadmap and data platform strategy.
• Ensure data solutions are scalable, secure, reliable, and cost-effective.
  
  

Engineering & Delivery

• Design, build, and oversee scalable data pipelines supporting batch, streaming, and event-driven workloads.
• Develop high-quality data models and schemas for analytics, business intelligence, operational systems, and machine learning applications.
• Implement robust frameworks for data quality, testing, observability, and lineage.
• Build and optimise ingestion frameworks for APIs, event streams, file-based imports, and third-party data sources.
• Drive continuous improvements in platform performance, scalability, resilience, and operational efficiency.
  
  

Technical Leadership

• Act as a senior technical authority within the Data Engineering function.
• Mentor and guide Data Engineers, promoting technical excellence and best practices.
• Lead architecture reviews, design discussions, and cross-functional engineering initiatives.
• Influence technical decision-making across multiple teams and projects.
• Clearly communicate complex architectural concepts and technical trade-offs to both technical and non-technical audiences.
  
  

Collaboration

• Partner with Data Scientists, Analysts, Software Engineers, Product Managers, and business stakeholders to deliver impactful data solutions.
• Foster a culture of innovation, collaboration, and continuous improvement.
• Champion modern DataOps and engineering practices across the organisation.
  
  

What We're Looking For

Essential Skills & Experience

• 10+ years of experience in Data Engineering, including significant experience defining architecture and technical strategy.
• Expert-level experience with a modern cloud data warehouse platform, such as Snowflake or a similar technology.
• Advanced SQL expertise and strong Python programming skills.
• Experience with data orchestration tools such as Airflow, Dagster, Prefect, or equivalent.
• Deep understanding of ETL/ELT architectures, distributed data processing, and data lifecycle management.
• Experience with streaming and event-driven technologies such as Kafka, Kinesis, or Pub/Sub.
• Strong knowledge of data quality, observability, lineage, and governance practices.
• Experience working within cloud environments including AWS, Azure, or GCP.
• Proven expertise implementing DataOps practices, including CI/CD, testing, automation, and version control.
• Demonstrated ability to lead technical direction, influence stakeholders, and mentor engineering teams.
  
  

Desirable Experience

• Experience with data governance, metadata management, or data cataloguing tools.
• Hands-on experience with dbt, including modelling, testing, documentation, and advanced framework capabilities.
• Exposure to machine learning pipelines, feature stores, or MLOps environments.
• Experience with Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience designing and operating data platforms within highly regulated, secure, or large-scale environments.
  
  

Why Join Us?

This is an opportunity to play a pivotal role in shaping the future of our data platform and influencing the technical direction of the organisation. You'll work with modern cloud technologies, solve complex engineering challenges, and help drive data-driven innovation at scale.

If you are a strategic thinker, a hands-on technical expert, and a passionate advocate for engineering excellence, we'd love to hear from you.

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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

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.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

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