Staff Data Engineer
Remote · United States or Raleigh, North Carolina, United States
Job Summary
Staff Data Engineer to define technical direction for a lakehouse data platform on AWS, lead production data pipelines, own data modeling for time-series and multi-source data, implement data governance foundations, and craft a reusable data-platform playbook. Role emphasizes shaping architecture, driving end-to-end delivery, mentoring engineers, and partnering with senior stakeholders to enable analytics, ML, and AI features across sports analytics products. Must demonstrate strong Python, experience with lakehouse technologies and AWS, data modeling across multi-tenant environments, and the ability to translate requirements into scalable, reliable data infrastructure.
Required Qualifications
- 10+ years of data engineering or related experience
- strong Python for pipelines
- experience with lakehouse platforms (Delta Lake, Iceberg, or Hudi)
- experience with Spark, Databricks, Trino, or Snowflake
- expert AWS and distributed cloud architecture (S3, IAM, Glue, EMR/Lambda)
- Terraform proficiency
- data modeling for complex entities (time-series, hierarchical, multi-source)
- experience delivering end-to-end data platforms and communicating with senior leadership
- familiarity with data governance, ownership, and stewardship concepts
- ability to mentor engineers and influence platform roadmaps
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