Data Engineering Lead; Montreal

Position: Data Engineering Lead (Montreal)

Location: Montreal

This range is provided by US Mobile. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$/yr - CA$/yr

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.

Key Responsibilities

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, Big Query, 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

Qualifications

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 Big Query

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

Benefits

Competitive salary 225k CAD - 325k CAD (based on experience)

Flexible working hours

Supplemental health insurance

Professional development stipend

$500 wfh tech set‑up reimbursement

Think you’d be a great fit? Apply to learn more! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Information Technology

Industries

Telecommunications

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