Senior Manager, Data Engineering

📋 Description

• Lead a team of data engineers; stay involved in architecture and design decisions.
• Define architectural vision for a Databricks lakehouse (Spark, Delta Lake, Unity Catalog).
• Own roadmap and evolution of data platform with stakeholders.
• Balance new capabilities with tech debt, scalability, and maintainability.
• Establish data quality standards; automate testing, CI/CD, monitoring.
• Drive operational excellence; on-call ownership and reliability improvements.

🎯 Requirements

• Extensive data engineering experience; strong data architecture for large-scale lakehouses.
• Experience managing and developing an engineering team; coaching talent.
• Hands-on with Databricks (Spark, Delta Lake, Unity Catalog); Python and SQL.
• Cloud experience (AWS or Azure); production-grade data platforms.
• Automated pipeline testing, data validation, CI/CD, monitoring, observability.
• Strong incident management and reliability improvements.

🎁 Benefits

• Comprehensive health, life & disability insurance; family support programs.
• Generous PTO, holidays, volunteer time off, self-care days, no-meeting days.
• Tuition and reading reimbursement; continuous learning.
• Wellness resources and Employee Assistance Program; coaching.
• RRSP, gym reimbursement, telemedicine.
• Performance bonus opportunities; remote work stipend.