Manager, Analytics Engineering

In this role, you will lead and develop a high-performing analytics engineering team while actively contributing to the design, development, and evolution of a modern data platform built on Snowflake and dbt.

• Lead, mentor, and grow a team of Lead and Senior Analytics Engineers, fostering a high-trust, high-performance engineering culture
• Stay hands-on with SQL and dbt, driving technical design, code reviews, and engineering best practices across the data stack
• Define and execute the roadmap for your team’s domain within the analytics platform, balancing delivery speed, technical debt, and long-term scalability
• Design and evolve scalable data models, marts, and a robust semantic layer that serves as the organization’s single source of truth
• Partner with cross-functional stakeholders (Finance, Risk, Sales, Product, Operations) to translate business needs into reliable, scalable data products
• Champion data quality, governance, observability, and documentation to ensure trust in all downstream reporting and analytics
• Drive engineering excellence across dbt practices, including testing strategies, incremental models, performance tuning, and CI/CD workflows
• Contribute to hiring, interviewing, and onboarding efforts to strengthen and scale the analytics engineering organization

Requirements:

The ideal candidate combines strong technical depth in analytics/data engineering with proven leadership experience and the ability to translate business problems into scalable data solutions.

• 7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with strong SQL and data modeling expertise
• 2+ years of people management experience leading senior-level engineers in a data or analytics environment
• Deep hands-on experience with dbt and Snowflake (or similar cloud data warehouse), including modeling, testing, and deployment practices
• Proven experience building or operating a semantic layer or metrics framework used as a trusted source of truth across an organization
• Strong background in dimensional modeling, data architecture, and building scalable analytics pipelines
• Demonstrated ability to partner with senior business stakeholders and translate complex requirements into durable data solutions
• Excellent communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences
• Strong coaching and leadership skills with a track record of developing high-performing engineering teams
• Comfortable working in fast-paced, remote-first environments with high ownership and autonomy

Benefits:

• Competitive annual salary: CA$170,000 – CA$200,000
• Performance-based bonus of up to 12%
• Comprehensive health, dental, and vision insurance coverage
• RRSP matching and retirement savings support
• Flexible time-off policy and generous paid holidays
• Paid parental leave and family support programs
• Wellness, home office, and professional development reimbursements
• Remote-first work environment with optional in-person collaboration spaces
• Volunteering days and charitable donation matching programs
• Strong focus on work-life balance, flexibility, and long-term career growth.