The Data Team Lead is responsible for coordinating and supporting the delivery of data engineering and reporting capabilities within the Connected Data program.

This role provides day-to-day guidance to Data Engineers and Power BI Developers, ensuring work is aligned to project priorities, timelines, and delivery milestones. The Data Team Lead contributes hands-on to delivery while supporting team development, consistency of implementation, and overall execution quality.

The role operates within a project-based delivery model and works closely with the Project Manager and Data Architect to translate priorities and designs into delivered outcomes.

Roles and Responsibilities:

• Coordinate day-to-day delivery activities across Data Engineers and Power BI Developers.
• Translate project priorities into actionable work items and support backlog execution.
• Work closely with the Project Manager on planning, sequencing, and tracking of technical deliverables.
• Ensure alignment between technical work and project timelines, milestones, and dependencies.
• Identify and help resolve delivery risks, blockers, and dependencies.
• Contribute directly to development of data pipelines, transformations, and datasets as needed.
• Support implementation of data solutions aligned with established architecture and design.
• Assist in troubleshooting data issues and ensuring reliability of delivered solutions.
• Provide guidance to team members on implementation approaches, standards, and best practices.
• Support consistency in data modeling, pipeline design, and development practices.
• Participate in design discussions with the Data Architect and contribute practical input based on delivery experience.
• Support onboarding and mentoring of Data Engineers and Power BI Developers.
• Encourage knowledge sharing and continuous learning within the team.
• Provide input on performance, growth, and capability development.
• Work with business stakeholders as needed to clarify requirements and support delivery.
• Participate in working sessions, demos, and reviews to validate outputs.
• Ensure delivered solutions are aligned with business needs and usable for reporting and analysis.
• Promote good practices in data quality, validation, and monitoring.
• Identify opportunities to improve reliability, performance, and maintainability of data solutions.
• Support incremental improvement of data assets and processes.
• Support implementation of data governance practices, including metadata, lineage, access control, and data quality.
• Apply established standards and decision frameworks for shared KPIs, hierarchies, and reporting usage.
• Contribute to master data alignment (e.g., projects, equipment, locations, cost codes) in collaboration with the Data Architect and business stakeholders.
• Support implementation of security models (e.g., row-level security in Power BI) and ensure adherence to organizational, safety, and regulatory requirements.
• Maintain confidentiality with respect to Redpath business and vendor information
• Support other members of the Corporate IT teams as required
• The duties and responsibilities listed above are representative of the nature and level of work assigned and are not necessarily all inclusive

Education:

• Bachelor’s degree in Computer Science, Data/Software Engineering, Information Systems, or Mining/Construction Engineering; equivalent experience considered.
• Advanced degree or relevant certifications (e.g., Azure/Data Engineering, Power BI) are an asset.

Experience:

• 6–10+ years of experience in data engineering, analytics, or related roles.
• Experience delivering data solutions in project or program environments.
• Experience guiding or supporting junior team members is an asset.
• Strong hands-on experience with data pipelines, transformation, and reporting datasets.

Technical Skills:

• Strong SQL and data transformation skills.
• Experience with modern data platforms (e.g., Microsoft Fabric, Azure Data Factory, DataBricks or similar).
• Experience supporting reporting solutions (e.g., Power BI semantic models).
• Understanding of data modeling and integration patterns.
• Familiarity with DevOps/DataOps practices.

Core Competencies:

• Delivery-focused mindset with strong sense of ownership.
• Ability to balance hands-on work with coordination responsibilities.
• Strong communication and collaboration skills.
• Ability to operate in evolving, fast-paced environments.

Additional Information:

• Overtime may be required to meet project deadlines
• International travel as required for the purpose of meeting with clients, stakeholders, or off-site personnel/management.