Data Engineering Lead (Montreal)

Montréal · MontrealFull-timelead

EngineeringOtherData EngineeringData Engineering Lead

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Requirements Summary

Continuously enhance system efficiency, scalability, and cost-effectiveness. Strategic Input: Influence the long-term data strategy — infrastructure modernization, data platform evolution,

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EngineeringOtherData EngineeringData Engineering Lead

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity.

At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries.

We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team.

We’re looking for an experienced Data Engineering Lead to architect, scale, and lead our data infrastructure. You’ll play a critical role in transforming how data flows across the organization — enabling advanced analytics, machine learning, and near-real-time decision-making. You’ll lead a small team of data engineers and collaborate closely with analysts, data scientists, and product teams to ensure data reliability, accessibility, and innovation.

Architect Scalable Systems: Design and maintain robust data pipelines, ETL/ELT processes, and data models supporting analytics, ML, and BI tools.

Modern Data Stack Ownership: Oversee and optimize tools across the stack — e.g., S3, Redshift, Snowflake, BigQuery, etc.

Data Quality & Governance: Implement strong data validation, observability, and governance practices to ensure trust and compliance.

Collaboration: Partner with analytics, product, and engineering teams to define data requirements and improve data usability across the organization.

Performance Optimization: Continuously enhance system efficiency, scalability, and cost-effectiveness.

Strategic Input: Influence the long-term data strategy — infrastructure modernization, data platform evolution, and cloud architecture.

6+ years of experience in data engineering, including 2+ years in a leadership or team lead role.

Proven experience designing and maintaining scalable data pipelines, ETL/ELT processes, and data models for analytics, ML, and BI.

Hands-on expertise with modern data stack tools such as S3, Redshift, Snowflake, and BigQuery.

Deep understanding of SQL, Python, and ETL frameworks, as well as data quality, validation, observability, and governance best practices.

Deep knowledge of cloud infrastructure, data architecture, and performance optimization.

Strong communication and leadership skills, with the ability to guide both strategy and execution.

Competitive salary 175k CAD - 225k CAD (based on experience)

Flexible working hours

Supplemental health insurance

Professional development stipend