As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team.
You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery.
Serve as a technical counterpart to the Principal Data Platform Engineer.
Drive architectural judgment and independent problem-solving as platform complexity scales post-migration.
Build and maintain production data pipelines within the patterns and governance established by the Lead Data Platform Engineer, ensuring reliability and performance at multi-terabyte scale.
Exercise architectural judgment on data modeling, pipeline design, and platform usage.
Engage proactively with product and engineering stakeholders to translate requirements into data solutions.
Requirements
5+ years in data engineering with demonstrated ability to own problems end-to-end without close direction
SQL, Python, and PySpark—production pipeline implementation and performance optimization
Databricks experience—Delta Lake, Workflows, and Databricks SQL; Unity Catalog familiarity preferred
Experience building and maintaining ETL/ELT pipelines at scale, including error handling, monitoring, and data quality validation
Strong data modeling skills across structured and semi-structured data sources
AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions