Lead expert data engineers and manage, architect, and build cloud-based and on-premise data solutions to support our data strategy
Job Summary
Lead expert data engineers and manage, architect, and build cloud-based and on-premise data solutions to support our data strategy.
Co-lead, nurture, and grow the professional Data Engineering Chapter, ensuring the delivery of secure, scalable, and cost-effective data processing and analytical systems.
Balance strategic technical direction with people leadership necessary to mentor and retain highly skilled data engineering experts.
Matching Summary
Lead expert data engineers and manage, architect, and build cloud-based and on-premise data solutions to support our data strategy.
Skills & Requirements
Must-have
Cloud-based data solutions
Data processing and analytical systems
Data product ownership
DevOps principles
Everything as code
Azure, GCP, Snowflake, Python, SQL
Nice-to-have
Championing AI Code Generation
Psychological safety
Collaborative team culture
Dynamic and energetic leader
Curiosity and passion for data
Key Requirements
At least 5 years of Data Engineering experience
First managerial role with direct reports
Experience with Azure, GCP, Snowflake, Python, SQL, Prefect, Dbt, DataIku, Power BI, Terraform/Docker
Experience with SQL Server, SSIS, SSRS, SSAS, Tableau