About the role

Senior Data Engineer developing a trustworthy analytics data layer for commonsku's platform. Leading projects and mentoring team members in a remote-first work environment.

Responsibilities

Help guide projects within the team's area of ownership from ideation to delivery.
Turn normalized operational data into clean dimensional models (Kimball/star schema) that map to how commonsku works across orders, distributors, suppliers, products, and revenue.
Improve data trust and performance by optimizing queries, strengthening test coverage, and resolving pipeline reliability issues.
Define and protect canonical metric definitions in our dbt marts so every dashboard draws from a single source of truth.
Build accessible infrastructure in Snowflake and Metabase so analysts and business users can answer questions confidently, while diving into deep, hands-on analysis yourself when required.
Provide support, guidance, and constructive code reviews to our Data Engineer and Data Analyst.
Work closely with the Manager, Platform and Data, as well as Product Managers, to translate business goals into technical roadmap.
Integrate AI development tools like Cursor, CodeRabbit, and Snowflake Intelligence/Cortex to work efficiently, while proactively validating and refining their outputs.

5+ years of experience in analytics engineering, data engineering, or a closely related role, ideally within a SaaS or product-driven environment.
Strong production experience with SQL, dbt, and a cloud data warehouse (Snowflake or comparable), alongside proficiency in Python for analytics tooling and automation.
Deep understanding of dimensional modeling, relational databases, managed ingestion (Fivetran), and designing BI environments (Metabase) for self-serve use.
A proven track record of mentoring and developing engineers or analysts, with a focus on building a healthy, collaborative, and inclusive team culture.
A balance of technical excellence with pragmatic business tradeoffs, a strong sense of customer empathy, and a dedication to continuous growth and feedback.
Experience using AI-assisted development tools effectively and pushing the boundaries of how AI improves daily workflows.
Experience using Snowflake AI tooling (or similar) to accelerate solutions for business needs.

Remote-first culture (with plenty of excellent in-person experiences sprinkled in)
Company-wide closure between December 25th and January 1st
Health and dental benefits, including a $1,000 healthcare spending account
RRSP/TFSA contributions up to $3,000 a year (no employee contribution required!)
Twice-yearly company wide summits (we call it HQ and you’ll love it)
A delightful team of smart people who are good at what they do