Databricks Data Engineering Manager

Data Engineering Manager (Hands-On) – Toronto, ON Onsite | Full-Time No Third-Party Contractors Our client is seeking a hands-on Data Engineering Manager to lead and grow a high-performing data engineering team while remaining deeply technical. This role focuses on architecting and optimizing large-scale data solutions on Databricks integrated with AWS. What You’ll Do Lead the design and operations of the Databricks Lakehouse Platform Build and optimize scalable ETL/ELT pipelines using Spark (PySpark/Scala) Manage Databricks clusters, infrastructure, and cost optimization Implement strong data governance and security using Unity Catalog Drive performance tuning, advanced Spark optimizations, and best practices Lead and mentor data engineers; collaborate across business and tech teams Oversee CI/CD workflows, Git-based development, and Infrastructure as Code Establish monitoring, SLAs, KPIs, and reliability standards What We’re Looking For 5 years of hands-on Databricks Spark experience Strong background in AWS (S3, Glue, Lambda, EMR, Step Functions) Advanced Python (PySpark) or Scala skills, plus strong SQL Experience with Terraform/CloudFormation and CI/CD pipelines Solid understanding of data warehousing & modeling Proven leadership experience in fast-paced environments Experience using AI in the development lifecycle is a plus Financial industry experience preferred Ability to travel to the U.S. occasionally

Location: Toronto, Ontario, CA

Posted Date: 11/19/2025