Manager, Data Engineering (AI)

Location: Edmonton, Toronto, Vancouver, or Kitchener-Waterloo, Canada; hybrid attendance required at least 1 day per week according to the department schedule.

Salary: CAD 169,200–228,900 annually, with a midpoint of CAD 199,100.

Company

hirify.global provides software for small home service businesses to quote, schedule, invoice, collect payments, and manage customer experiences.

What you will do

• Lead and develop a team of data engineers, including performance management, mentoring, recruiting, and capability building.
• Own the strategy, roadmap, and delivery of scalable, high-performance, and cost-efficient data infrastructure across Data and ML platforms.
• Oversee data ingestion, activation, data stores, compute engines, orchestration systems, self-service tooling, and workflow automation.
• Ensure data platforms are resilient, observable, secure, governed, compliant, and supported by effective recovery and monitoring practices.
• Partner with engineering, analytics, product, data science, and go-to-market teams to deliver reliable product data and measurable business outcomes.
• Drive innovation by enabling the use of AI tools in data strategy, tooling, experimentation, and workflow improvement.

Requirements

• Experience managing engineering teams, ideally in data engineering, with a record of delivering high-quality software and data solutions.
• Strong foundation in distributed data systems, orchestration frameworks, cloud infrastructure, performance tuning, scaling, and cost optimization.
• Hands-on experience with systems design, SQL, data modeling, governance, quality management, and modern data tools.
• Experience implementing observability frameworks, SLAs, disaster recovery, and practices for reliable and compliant data systems.
• Strong strategic planning, communication, collaboration, leadership, mentoring, and coaching skills.
• Must be based in Edmonton, Toronto, Vancouver, or Kitchener-Waterloo and able to attend the office at least one day per week. Candidates must also be legally entitled to work in Canada.

Nice to have

• Experience with Redshift, Trino, dbt, Airflow, Kafka, Spark, or Ray.
• Experience building internal developer platforms, self-service data tooling, or workflow automation.
• Experience with lambda or kappa architecture and batch or streaming systems in production.
• Experience influencing upstream data design and instrumentation with engineering teams.
• Exposure to data science and machine learning workflows and infrastructure.

Culture & Benefits

• Inclusive, transparent, collaborative, and innovation-focused work environment.
• Extended health benefits with fully paid premiums for physical and mental health.
• Retirement savings matching through RRSP, TFSA, or FHSA, plus stock options.
• Talent development programs, coaching, learning resources, and leadership programs.
• Onboarding resources, tutorials, hackathons, buddy support, and mentorship opportunities.
• One in-person interview may be required, with pre-approved travel expenses covered.

Hiring process

• Applicants provide salary expectations and confirm Canadian work authorization.
• Employment is conditional on successfully completing an identity-verification background check.
• An in-person interview at the nearest hirify.global office may be included, with approved travel expenses covered.