Senior Data Engineer

Hewlett Packard Enterprise is seeking a Senior Data Engineer to design and evolve our next-generation data platform. The ideal candidate will have strong architectural expertise and experience with Snowflake, SQL, Python, and modern orchestration tools. This role is a mix of strategic and hands-on work, requiring leadership and collaboration skills.

Requirements

• 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

Benefits

• Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
• Career development programs
• Unconditional inclusion and flexible work arrangements