Data Team Lead

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.