Data Platform Engineer

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd! About the Role We’re looking for a curious, technically strong, and automation-minded Data Platform Engineer to join our Data Engineering team. This is a high-impact platform engineering role for someone who enjoys building reliable systems, writing maintainable automation, and helping data teams move faster, more safely, and with more confidence. You’ll work at the intersection of data engineering, business intelligence, finance analytics, cloud infrastructure, governance, and AI-enabled decision support. What we’re really hiring for is strong engineering fundamentals, comfort with ambiguity, and the drive to apply those fundamentals across different systems. We’re hiring an engineer who can pick up infrastructure work, governance work, or pipeline work as needed and help turn knowledge that currently lives in repos, configs, and people’s heads into durable platform practices. There will be a lot to learn here, even if you arrive experienced. That’s the appeal, not the catch. What You’ll Do Keep the data platform healthy: Monitor infrastructure and pipelines, respond to issues, troubleshoot failures from logs and metrics, and help identify root causes so we can prevent repeat problems. Make infrastructure changes safely: Build, review, and deploy infrastructure through code using Terraform, AWS, Kubernetes or contai