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Data Infrastructure Engineering Manager

mqreferralsToronto, Canada; Vancouver, Canada
Hybrid Full-time

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Experience Level

Manager

Qualifications

6+ years of experience in data engineering/infrastructure with at least 2 years in a leadership role managing technical teams. Extensive hands-on knowledge of AWS data services (S3, EMR/Glue), Airflow, Kafka/MSK, and data catalog tools. Strong aptitude for product thinking, with a proven track record of translating customer requirements into actionable platform features. Demonstrated expertise in agile methodologies, including capacity planning, sprint execution, and requirements analysis. Proven history of operational excellence, including on-call management and incident response, while meeting SLAs. Exceptional mentoring capabilities with a passion for developing engineers and cultivating high-performing teams. Must be authorized to work in Canada and able to travel quarterly to the United States.

About the job

As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.

We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!

About mqreferrals

mqreferrals is at the forefront of innovative data solutions, leveraging cutting-edge technology to enhance our AI and analytics strategies. Our commitment to a flexible work environment fosters creativity and collaboration, ensuring our team can thrive in a dynamic landscape.

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