Manager, Data Platforms (Permanent)
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 5-10 years of experience in data governance, data stewardship, data modelling, data architecture, and master/metadata management.
- Posting language
- English
- Posted
Original 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
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.
- 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.
- 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.
- 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.
More about this job
Responsibilities
Lead the strategy, architecture, delivery, operation, and continuous improvement of enterprise data platforms and data engineering capabilities, including Snowflake and cloud data services. Manage and develop staff, establish standards and reusable data solutions, support data quality and governance, and promote analytics adoption across the organization.
Requirements
Requires an undergraduate degree in a related field and 5–10 years of experience in data governance, stewardship, modeling, architecture, and master or metadata management. Candidates should have strong experience leading Snowflake platforms and engineering teams, familiarity with analytics tools, and strong strategic, communication, training, and collaboration skills.
Skills
- Data Platform Strategy
- Snowflake
- Data Engineering
- Data Governance
- Data Architecture
- Data Modeling
- Data Stewardship
- Master Data Management
- Metadata Management
- Data Quality
- Cloud Data Services
- Power BI
- Tableau
- Looker
- Change Management
- Team Leadership
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Management & Leadership
- Energy
- Engineering
Keywords
- Enterprise Data Platforms
- Snowflake
- Cloud Data Services
- Data Engineering
- Data Governance
- Data Stewardship
- Data Modeling
- Data Architecture
- Master Data Management
- Metadata Management
- Data Products
- Data Quality
- Data Pipelines
- Data Security
- Data Reliability
- Platform Optimization
- Data Standards
- Reusable Patterns
- Data Analytics
- Decision Support
- Benchmarking
- Power BI
- Tableau
- Looker
- Change Management
- Training and Adoption
- Hydro One
- Oil and Gas