Reads like a Data Leadership role: running a data team.
5700 Yonge St, North York, ON M2M 4K2, Canada
Actively hiring, first seen by us 2 days agoCompensation Information: Base salary range: $170,000 - $200,000 The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.Read the full posting
Set the multi-year customer data architecture and analytics engineering roadmap
Architect and maintain the enterprise semantic layer and standard metric definitions
Define and enforce engineering standards such as dbt modeling, CI/CD, and testing
Lead complex greenfield builds and critical data transformations by writing code
Direct, mentor, and grow a team of analytics engineers and data specialists
Set the multi-year customer data architecture and analytics engineering vision
Architect and maintain the enterprise semantic layer, establishing standardized metric definitions
Define, champion, and enforce software engineering best practices within analytics
Directly lead complex, greenfield implementations and critical data transformations by writing high-quality code
Direct, mentor, and grow a high-performing team of analytics engineers and data specialists
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 7 and day 55.
At Questrade Financial Group, jobs usually come down by about day 28.
From 8,347 similar postings that came down, and 13 of Questrade Financial Group’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Work with diverse team members in an inclusive and collaborative environment This job posting is for an existing vacancy. We’re looking for our next Senior Manager, Analytics Engineering. Could It Be You? This role will be responsible for: The Senior Manager, Analytics Engineering defines and executes the multi-year architecture, semantic layer, and delivery strategy for customer data across Questrade. Leading a lean, high-performing technical team while remaining actively hands-on, this role establishes a single, trusted 360-degree view of the client and builds an AI-native self-serve data ecosystem that powers business intelligence and autonomous agents. The role bridges modern data engineering rigor—spanning dbt, SQL, automated testing, CI/CD, and cloud data platforms—with close cross-functional partnerships across Analytics, Architecture, and upstream engineering to deliver scalable, secure, and governed data products. Need more details? Keep reading… In this role, responsibilities include but are not limited to: Architecture & Technical Strategy: Set the multi-year customer data architecture and analytics engineering vision, translating enterprise priorities into a scalable platform roadmap that unifies diverse client touchpoints into a single, high-integrity view.
Semantic Layer & AI Enablement: Architect and maintain the enterprise semantic layer, establishing standardized metric definitions, business logic, and governed models that empower self-serve BI tools and autonomous AI agents to deliver consistent, trusted answers. Engineering Rigor & Quality Standards: Define, champion, and enforce software engineering best practices within analytics—including robust dbt modeling, modular SQL, automated CI/CD pipelines, code reviews, automated testing, and comprehensive data documentation. Hands-On Delivery & Prototyping: Directly lead complex, greenfield implementations and critical data transformations by writing high-quality code and leveraging modern coding agents to drive execution speed and technical excellence.
10+ years of progressive experience in analytics engineering, data engineering, or data platform development, including owning the architecture of a company-wide production data warehouse. Expert-level SQL and dbt, paired with solid software engineering disciplines (Git, automated testing, CI/CD, code reviews, and orchestration pipelines). Deep hands-on experience architecting and maintaining production warehouses on BigQuery, Databricks, or Snowflake.
Expert-level SQL and dbt, paired with solid software engineering disciplines (Git, automated testing, CI/CD, code reviews, and orchestration pipelines). Deep hands-on experience architecting and maintaining production warehouses on BigQuery, Databricks, or Snowflake. Demonstrated track record designing and maintaining production semantic layers that serve business intelligence and programmatic consumers (LLMs / AI agents).
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Compensation Information: Base salary range: $170,000 - $200,000 The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
5700 Yonge St, North York, ON M2M 4K2, Canada
Competitive compensation and benefits packages Work-life balance in a hybrid environment with at least 3 days in office Career growth and development opportunities
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles. Sounds like you? Click below to apply! #LI-RJ1 #LI-Hybrid
No clear work-authorization passage found. Eligibility is unconfirmed.