About Clutch:
Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that’s just the beginning.
Named one of Canada’s top growing Companies two years in a row and also awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.
Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by a number of world-class investors, including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca.
What You'll Do
- Lead the design and evolution of Clutch’s analytics data stack, including scalable ELT pipelines, dimensional models, and semantic layers using dbt, Snowflake, and Airflow.
- Partner with business leaders across Marketing, Product, Operations, and Finance to define metrics frameworks, improve reporting fidelity, and build data products that drive decision-making.
- Drive best practices in data engineering: testing, observability, CI/CD, and code review for production-ready analytics code.
- Own critical data domains end-to-end, ensuring their models and pipelines are reliable, performant, and trusted.
- Mentor and guide other analytics engineers, elevating the team’s technical practices and modeling approach.
- Shape Clutch’s data governance strategy by contributing to documentation, standards, and the overall data culture.
- Experiment with emerging tooling in orchestration, data quality, and self-serve analytics to keep Clutch at the forefront of modern data practices.
What We're Looking For
- 6–8+ years of experience in analytics engineering, data analytics, or data engineering, ideally in high-growth or fast-paced environments.
- Proven track record of building and maintaining complex data models with dbt in a production environment (CI, testing, documentation).
- Deep SQL expertise, with experience designing scalable dimensional models and working with large, normalized datasets.
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau).
- Strong communication skills, with the ability to influence stakeholders and lead discussions around metrics and data strategy.
- A strong sense of ownership, accountability, and craftsmanship for data quality, performance, and maintainability.
- Experience with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines and transformations is a plus.
- Prior mentorship or leadership experience in a data team is strongly preferred.
Why you’ll love it at Clutch:
- Autonomy & ownership -- create your own path, and own your work
- Competitive compensation and equity incentives!
- Generous time off program
- Health & dental benefits
Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca.
