Manager, Data Platforms (Permanent)

CoreFactor; Toronto; Hybrid; CAD 120,000 - 170,000; Full time

Job summary

CoreFactor is seeking a Manager, Data Platforms for a permanent role with a client in the Greater Toronto Area. The position is hybrid, requiring two in-office days per week.

The role leads the data platforms strategy, including Snowflake, cloud data services, and data engineering to enable secure, scalable data use. The ideal candidate has 5–10 years in data governance, data modelling, architecture and master metadata, with strong leadership and change-management skills.

Qualifications

• Undergraduate degree in Data Science, AI, CS, Business Admin or related field.
• 5-10 years of experience in data governance, data stewardship, data modelling, data architecture, and master/metadata management.
• Experience with change management and driving adoption of data practices.
• Strong experience leading enterprise Snowflake platforms and engineering teams, including platform strategy and governance.
• Proficiency with Power BI, Tableau, Looker or similar analytics tools.

Responsibilities

• Develop and maintain a comprehensive data platform strategy and capabilities.
• Lead planning, design, delivery, operation and improvement of enterprise data platforms.
• Coach and develop data services staff and cross-functional teams.
• Establish data engineering standards, reusable patterns and practices.
• Communicate data strategy and governance across the organization.

Skills

Data governance

Data modelling

Data architecture

Leadership

Change management

Power BI

Tableau

Looker

Communication

Strategic thinking

Education

Bachelor's degree

Tools

Snowflake

Power BI

Tableau

Looker

Job description

CoreFactor is searching for a Manager, Data Platforms on a permanent/full-time basis for a client in the GTA.

This position is hybrid and will require the successful incumbent to be in the office two (2) days per week.

Job Purpose

Develop, execute and maintain a comprehensive enterprise data platform strategy and capabilities to support the secure, scalable and governed use of enterprise data across Hydro One. Lead the planning, design, delivery, operation and continuous improvement of enterprise data platforms, including Snowflake, cloud data services, data engineering and reusable enterprise data products.

Duties and Responsibilities

• Develop, execute and maintain a complete data engineering strategy and capabilities.
• Partner with cross-functional teams to scope data requirements and build scalable data engineering solutions.
• Facilitate, educate and promote adoption of data engineering tools, standards, processes and procedures.
• Manage, support and develop data services staff.
• Coordinate and define data engineering requirements, priorities and delivery responsibilities across business and technology teams.
• Establish data engineering standards, reusable patterns and development practices.
• Guide and facilitate data quality, pipeline and engineering issue resolution processes.
• Provide leadership on data engineering best practices, data quality and performance measures.
• Communicate data engineering strategy, standards, patterns and procedures across the organization.
• Enforce compliance with internal data engineering, architecture, security and data governance standards and procedures.

Data Architecture

• Support cross-functional teams in defining data structures, storage needs and data movement requirements.
• Establish and maintain enterprise data architecture standards, patterns and models to support scalable, consistent and reusable data solutions.

Data Analytics

• Define and analyze information required for business decisions, including benchmarking.
• Perform fit-gap analysis of decision-support data.
• Evaluate data quality, accuracy requirements and ongoing quality metrics.
• Manage analytics training and adoption activities with change management support.

Requirements

• Undergraduate degree in Data Science, Artificial Intelligence, Computer Science, Business Administration or a related field.
• 5-10 years of experience in data governance, data stewardship, data modelling, data architecture, and master/metadata management.
• Experience with change management and driving adoption of data practices.
• Strong experience leading enterprise Snowflake platforms and engineering teams, including platform strategy, architecture, data engineering, governance, reliability and optimization
• Proficiency with Power BI, Tableau, Looker or similar analytics and visualization tools.
• Strong strategic thinking, communication, training and problem-solving skills.
• Ability to align data initiatives with business objectives.
• Ability to coordinate across multiple departments and manage collaboration.