Lead enterprise data transformation initiatives, shape modern cloud and data architectures, and strengthen the Data Engineering practice by connecting technical excellence, consulting leadership, and measurable business value.
Locations (2)
Toronto, Ontario, Canada
Montréal, Quebec, Canada
Compensation
The expected base compensation for this position ranges from $130,000 to $160,000 CAD, depending on experience, skills, location, and internal equity.
Responsibilities
Partner with clients to understand business objectives, define transformation roadmaps, and architect scalable enterprise data solutions across Databricks, Microsoft Fabric, Snowflake, Azure, and complementary technologies.
Lead end-to-end delivery of complex data engineering engagements, overseeing multidisciplinary teams, technical architecture, delivery quality, risk management, and commercial performance.
Define and govern architectural standards, reusable accelerators, modernization frameworks, and engineering best practices across the Data Engineering practice.
Lead and grow the Data Engineering practice by developing technical capabilities, mentoring consultants, and establishing consistent delivery standards.
Drive technical pre-sales, solution design workshops, strategic proposals, and go-to-market initiatives, developing differentiated offerings and industry-specific use cases.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field