Lead a team of Data Engineers to design and build data pipelines using cutting-edge cloud technologies
Job Summary
Lead a team of Data Engineers to design and build data pipelines using cutting-edge cloud technologies.
Serve as a people leader by directly mentoring and coaching engineers, supporting formal performance review cycles, and providing regular, actionable feedback.
Partner with business and data leaders to understand broader business strategies and define a roadmap outlining how the team will support and enable key initiatives.
Matching Summary
Lead a team of Data Engineers to design and build data pipelines using cutting-edge cloud technologies.
Salary
$130,000 – $205,000 per year
Skills & Requirements
Must-have
Design and build data pipelines
Real-time and batch data load strategies
Cloud technologies (AWS, Azure, GCP)
Spark (SparkSQL / Data Frames / Dataset API)
Scala/Python for ETL pipelines
Data warehousing solutions (Databricks, Snowflake, Oracle, Terradata, Redshift)
GitHub and CI/CD processes
Operational excellence for data platforms
Nice-to-have
Mentoring and coaching engineers
Cross-functional team collaboration
Data quality and integrity processes
Proof-of-concept execution
Fast-paced, dynamic environment
Key Requirements
3+ years of experience managing a mid-size team
3+ years of experience in the big data space
2+ years of experience working on Cloud technologies
Experience translating business requirements into technical data solutions