About the Role: Senior Data Engineer

We're growing - and we're hiring a Senior Data Engineer to join our Platform and Data team! In this role, you'll help us build and own a trustworthy, consistent, and usable analytics data layer that powers cross-functional decisions across all product and business areas.

We have the foundations of a modern data stack in place, with Snowflake as our data warehouse and reporting surfaced in Metabase. We ingest a variety of data sources into Snowflake using Fivetran and use dbt for modeling.We are now investing to grow the team and mature how we model, govern, and serve data, so this role joins with real room to shape what comes next. Near-term priorities include high-visibility work like our distributor benchmarking report and enabling agentic access to our data for business users.

You'll collaborate closely with teammates across product and engineering, contribute to a high-trust environment, and play a direct role in shaping the future of the industry.
About You

You're not just looking for a job - you're looking for a place to do your best work. You bring:

• A community mindset - You see customers as partners and coworkers as collaborators. You lift others up, always follow through on your commitments, and thrive in a team that does the same. (Community First)
• Momentum and ownership - You act with optimism, take initiative, and turn ideas into results. You move fast and bring others with you. (Fast Forward)
• Vision and boldness - You don't just react - you anticipate. You think big, challenge the status quo, and push the work (and the industry) forward. (Ten Steps Ahead)
• Joy in the craft - You care deeply about what you build and how it makes people feel. You bring thoughtfulness, transparency, and a welcoming sense of humour to the table. (Delightful Work)

⚙ About our Technology

Guided by our value of being Ten Steps Ahead, we are modernizing our technology to support a rapidly scaling business and user base.

Our core foundation for the Data Team is built on Snowflake. The rest of our tech stack is built on PHP, Python, React, mySQL and our infrastructure is in AWS.

Innovation remains central to our roadmap. We are pushing the boundaries of the industry by building AI features powered by OpenAI, Gemini and Anthropic APIs.
🛠 What You'll Do

This role balances hands-on engineering and analytics work with growing ownership, decision-making, and mentorship. Here's what you'll do:

• Lead and Model: 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.
• Optimize and Govern: 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.
• Enable Self-Serve Analytics: 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.
• Collaborate and Mentor: 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 roadmapInnovate with AI: Integrate AI development tools like Cursor, CodeRabbit, and Snowflake Intelligence/Cortextto work efficiently, while proactively validating and refining their outputs.

What You Bring

Some of the qualities that help you thrive in this role:

• Professional Experience: 5+ years of experience in analytics engineering, data engineering, or a closely related role, ideally within a SaaS or product-driven environment.
• Technical Expertise: Strong production experience with SQL, dbt, and a cloud data warehouse (Snowflake or comparable), alongside proficiency in Python for analytics tooling and automation.
• Data Modeling Knowledge: Deep understanding of dimensional modeling, relational databases, managed ingestion (Fivetran), and designing BI environments (Metabase) for self-serve use.
• Mentorship Skills: A proven track record of mentoring and developing engineers or analysts, with a focus on building a healthy, collaborative, and inclusive team culture.
• Mindset: A balance of technical excellence with pragmatic business tradeoffs, a strong sense of customer empathy, and a dedication to continuous growth and feedback.
• AI Enthusiasm: 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.

💰 Compensation & Perks

We believe in fair, transparent compensation. Starting salary for this role is $115,000-$130,000, depending on previous experience and skillset. New hires are expected to come in at the midpoint of this range.

However, if this role sounds perfect for you and your expectations are outside of this range, we encourage you to apply and let us know in your application about your ideal package. If we agree that it's a good fit, we will have open discussion around what's possible.

Plus:

• 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

🌎 Location

This role is open to candidates eligible to work in Canada (EST timezone preferred), with the exception of Quebec (we're not set up to operate there yet - désolé!).

We're remote-first, but if you're based in Toronto, even better. That's where we were founded and where we maintain our HQ today!