Staff Analytics Engineer - CANADA (Remote)

You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty

You have strong opinions on how AI can enhance analytics workflows, data modeling, and decision-making

You think in systems. You connect technical decisions to customer outcomes and long-term business value

You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders

You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real

You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together

8+ years in analytics engineering, data engineering, or related roles, including time operating at a large scale or leading cross-functional initiatives.

Deep proficiency with dbt, including building and maintaining large-scale transformation layers and reusable models.

Strong SQL skills and a background working with Snowflake or similar cloud data warehouses.

Designing and operating scalable semantic layers to provide consistent, reliable metric definitions across the organization.

Expertise in designing modular, scalable data architectures (e.g., Kimball or OBT) that balance query performance with ease of use for downstream analysts.

A history of building data quality frameworks, testing strategies, and monitoring for analytics datasets.

Building data products or internal tools while partnering with product and business teams to define metrics and drive decisions.

Expert-level grasp of software design principles and a deep understanding of multi-tenant platform architectures.

Proven track record leading high-impact analytics initiatives from concept through delivery.

Frontend: Sigma, Hex

Backend: dbt, SQL, Python

Data: Snowflake

Infrastructure: Airflow