Manager, Data Engineering

Job summary

You will lead a team of data engineers to build and maintain core data infrastructure, including Databricks and ingestion frameworks. Additionally, you will guide technical strategy, manage team capacity, and collaborate with stakeholders to deliver reliable data solutions.

Job details

You will lead a team of data engineers to build and maintain core data infrastructure, including Databricks and ingestion frameworks. Additionally, you will guide technical strategy, manage team capacity, and collaborate with stakeholders to deliver reliable data solutions. Candidates must have 8+ years of data engineering experience with at least 4 years in a leadership role. You must possess hands-on experience with data platform infrastructure and demonstrate strong technical and mentorship capabilities.

What you’ll do

You will lead a team of data engineers to build and maintain core data infrastructure, including Databricks and ingestion frameworks. Additionally, you will guide technical strategy, manage team capacity, and collaborate with stakeholders to deliver reliable data solutions.

Requirements

Candidates must have 8+ years of data engineering experience with at least 4 years in a leadership role. You must possess hands-on experience with data platform infrastructure and demonstrate strong technical and mentorship capabilities.

Benefits

• Extended health coverage
• Dental coverage
• Vision coverage
• Mental health support
• Fertility benefits
• Gender-affirming care
• Employee Assistance Program
• RRSP matching
• Annual Incentive Plan
• Employee Stock Purchase program
• Paid time off
• Wellness time
• No Wasted Day program
• Parental leave top-up
• Professional development opportunities
• Arc'teryx Academies
• Employee Belonging Councils
• Employee discounts
• Pro Deals

Listed skills

• CI/CD · Preferred
• Automated testing · Preferred
• Team Leadership · Preferred
• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data engineering
• Team leadership
• Databricks
• Data platform infrastructure
• Ingestion frameworks
• QA frameworks
• Technical architecture
• Data pipeline development
• Stakeholder management
• Mentoring
• Agile methodology
• Data governance
• CI/CD
• Automated testing
• Strategic planning
• Performance management

Job areas

• Data & Analytics
• Management & Leadership
• Technology
• Engineering
• Software

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