Director of Data & AI Engineering – Remote in Ottawa

Director of Data & AI Engineering – Remote in Ottawa

Ottawa Full-Time 123750 - 151250 $ / year (est.) Remote
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At a Glance

  • Tasks: Lead and build a data organization while mentoring engineers and driving AI initiatives.
  • Company: SQUIRE, a forward-thinking company focused on data and AI innovation.
  • Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on collaboration and innovation.
  • Why this job: Shape the future of data architecture and make a significant impact in AI.
  • Qualifications: Experience in data engineering, leadership skills, and a passion for AI.

The predicted salary is between 123750 - 151250 $ per year.

SQUIRE seeks a Director, Data Engineering to build and lead a data organization spanning Data Engineering, ML Engineering and Analytics.

You’ll be hands-on about half the time while mentoring engineers and setting technical direction.

You will own long-term data architecture and pipelines, drive data standards, and enable AI use cases across the company.

Partner with the CTO and cross-functional teams to translate strategy into data contracts and platform investments.

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Director of Data & AI Engineering – Remote in Ottawa employer: Digitailor

At SQUIRE, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Director, Data Engineering, you'll enjoy competitive compensation, comprehensive benefits including 100% employer-paid health insurance, and ample opportunities for professional growth within a rapidly scaling organization. Join us in shaping the future of data-driven solutions for barbers and shop owners, all while working remotely from anywhere in the US or Canada.

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Contact Details:

Digitailor Recruitment Team

We think you need these skills to ace Director of Data & AI Engineering – Remote in Ottawa

Communication Skills
Python
SQL
Problem-Solving Skills
Data Engineering
ETL/ELT Processes
Data Warehousing