Lead customer data architecture at Questrade as a Senior Analytics Engineering Manager, combining dbt, SQL, and hands-on technical leadership. Work hybrid with at least three office days.

This senior leadership role defines Questrade’s multi-year analytics engineering strategy and trusted client data foundation. You will guide semantic layers, governed models, and self-serve capabilities for business intelligence and autonomous AI agents. The position connects analytics, architecture, and upstream engineering through scalable delivery practices.

Key Responsibilities:

- Set customer data architecture and analytics engineering strategy
- Build governed semantic layers for BI and AI agents
- Champion dbt, SQL, testing, CI/CD, and documentation




- Lead complex implementations and critical data transformations
- Direct and develop analytics engineers and data specialists

Requirements:
- Bachelor’s degree or equivalent practical experience
- 10+ years in analytics or data engineering
- Expert SQL and dbt experience
- Production warehouse expertise with BigQuery, Databricks, or Snowflake
- Experience leading technical data teams hands-on

Shape Questrade’s trusted customer data ecosystem through architecture, semantic modeling, engineering rigor, and team leadership.

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📌 Senior Analytics Engineering Manager (Toronto)
🏢 Questrade Financial Group
📍 Toronto