Senior Data Engineer
MistThis 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:
We are looking for a highly skilled Senior Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will 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 of our data platform, ensuring scalability, performance, reliability, 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 a 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.
✅ What We’re Looking For
- 6–10+ years of experience in Data Engineering, with demonstrated architectural ownership.
- Expert-level experience with Snowflake (mandatory), 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 tools (Airflow, Dagster, Prefect, or equivalent).
- Strong understanding of ELT/ETL patterns, distributed processing, and data lifecycle management.
- Familiarity with streaming/event technologies (Kafka, Kinesis, Pub/Sub, etc.).
- 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.
- Proven leadership in driving architectural direction and mentoring engineering teams
Nice to Have
- Experience with data governance or metadata management tools.
- Hands-on experience with DBT, including modeling, testing, documentation, and advanced features.
- Exposure to machine learning pipelines, feature stores, or MLOps.
- Experience with Terraform, CloudFormation, or other IaC tools.
- Background designing systems for high scale, security, or regulated environments.
#LI-hybrid
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:
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Job:
EngineeringJob 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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