Location: Hybrid, Montreal
Type: Full-time, permanent role. Competitive salary plus meaningful equity and benefits.
About the Role
Every business we acquire arrives with its own data - its own systems, its own schemas, its own decades of quirks - and none of it was designed to talk to anything else. Making sense of that, and building the architecture that lets it all connect, is one of the most important things we do. This role owns it: the data foundations that everything we build sits on top of.
We're looking for someone who's genuinely comfortable in that ambiguity - mapping data fields between systems that were never meant to align, standing up integrations, and designing the architecture of large data systems from scratch. There's a real spectrum to how technical this can be, and we'll shape the role around your strengths. You'll have deep ownership over how our data is structured, moved, and trusted across the company.
This Is Not For You If…
- You need clean, well-documented data sources rather than the tangle of real acquired systems.
- You want the architecture handed to you rather than designing it from a blank page.
- You'd rather specialize narrowly than own data foundations end to end.
- Mapping messy fields between mismatched systems sounds like a chore, not a puzzle you'd enjoy.
What You'll Do
- Design and own the architecture of our data systems - how data is modeled, stored, moved, and made reliable across the company.
- Map and reconcile data across the different businesses we acquire, aligning systems that were never built to fit together.
- Build and maintain the integrations and pipelines that connect acquired businesses into our platform.
- Set the standards for data quality, structure, and access that everything else depends on.
- Partner closely with engineering, product, and operations to make sure the data serves what we're building.
Who You Are
- You've designed data architecture or infrastructure for real, large systems - ideally more than once.
- You're at home mapping and integrating messy, mismatched data from scratch, and you like the puzzle.
- Strong instincts for data modeling, pipelines, and the trade-offs that keep a system reliable as it grows.
- You thrive in ambiguity and want deep ownership over the foundations, not just a piece of them.
Nice to Haves
- Experience integrating data across acquisitions, mergers, or otherwise disparate systems.
- Fluency with modern data tooling and cloud data platforms.
- Interest in the physical, built world and the operational data that runs it.
How to Apply
- Please send us either a short Loom video (preferred), your CV or a brief summary of your experience. Our Chief of Staff, Alexandra Kiekens, will reach out to you via LinkedIn to schedule a short 10-minute introductory phone call as the first step of the interview process.