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Manager of Data Platforms

24 minutes ago

Toronto, Canada Coca-Cola Canada Bottling Limited Full time

Overview 13 Jan 2026 Coke Canada Bottling is Canada’s Local Bottler. We’re Made Local. Proudly independent, we are a Canadian, family-owned business. Coke Canada Bottling makes, distributes, merchandises, and sells the most-loved beverages Canadians enjoy. With over 6,000 diverse employees coast-to-coast, we operate in every province through 50+ sales and distribution centres, and five manufacturing facilities.Coke Canada supplies some of Canada’s favourite beverage brands, and we want to continue to be the leading beverage partner in Canada, creating a better future and delivering optimism by bringing sustainable value to our employees, customers, consumers, and communities.Advancing a high-performing, collaborative and inclusive culture is at the core of our vision to be the World’s Greatest Bottler, Built by the Best People, and we’re looking for exceptional talent to help get us there.For more information about Coke Canada Bottling and our products, visit cokecanada.com/our-product. Role Details Work Location – King St, Toronto, ON Hybrid Work - This position currently offers a hybrid work schedule. Subject to change. The in-office requirement is a minimum of three days per week (Tuesday, Wednesday & Thursday), with the flexibility to work remotely on the remaining days. Salary - The base salary for this position is from $103,500- $143,750. The starting base salary is based on market location and may vary depending on job-related knowledge, role complexity, experience and internal equity. Initial Posting Close Date – January 27, 2026 About This Opportunity We are recruiting a Manager of Data Platforms to join our Data Engineering department. The Manager of Data Platforms reports to the Director of Advanced Analytics and is responsible for building and maintaining data pipelines and lakehouse structures that support the Advanced Analytics (Data Science) team. In this role, you will partner closely with Data Scientists to ensure data is reliable, well-structured, and ready for experimentation, modeling, and insight generation. This is a hands-on engineering position responsible for daily pipeline development and ensuring data reliability. The role also includes leadership duties, such as mentoring and providing task guidance to a Junior Data Engineer. All architectural decisions and enterprise standards are coordinated with the central Technology and Data Architecture teams. Responsibilities Data Engineering & Pipelines Design, build, and maintain batch data pipelines using Databricks and Azure cloud services. Develop and curate analytics-ready datasets using modern lakehouse patterns (e.g., Delta Lake). Support ad-hoc data integration and extraction needs for the Advanced Analytics team. Databricks & Cloud Platform Serve as the primary Databricks practitioner for the Advanced Analytics team, using Spark, SQL, and Python. Collaborate with central Technology and Data Architecture teams to align with platform standards and best practices. Identify and recommend improvements to tools, workflows, and data engineering patterns. Data Quality & Engineering Practices Implement data quality checks and basic monitoring to ensure reliable analytics datasets. Use Git-based workflows and support CI/CD practices across development, test, and production environments. Troubleshoot and resolve pipeline issues in a timely manner. Analytics Enablement Partner with Data Scientists to translate analytical needs into scalable data solutions. Enable self-serve analytics by delivering well-structured, documented datasets. Support rapid experimentation, pilots, and ongoing analytical use cases. People Leadership & Process Improvement Provide mentorship, task guidance, and code reviews for a Junior Data Engineer. Contribute to team planning, documentation, and continuous process improvement initiatives. Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field. One or more relevant cloud or data engineering certifications (e.g., Azure, Databricks, or equivalent) are required, demonstrating a commitment to continuous learning and staying current with modern data engineering practices. 3+ years of experience designing, building, and maintaining data pipelines or data platforms in a production environment. Hands-on experience with Databricks, Apache Spark, or equivalent distributed data processing frameworks. Demonstrated experience mentoring or coaching team members particularly in technical or leadership development contexts. Experience working in a cloud environment, preferably Microsoft Azure (e.g., Azure Data Lake, Blob Storage, Azure Data Factory). Experience with Delta Lake and lakehouse architectural patterns is preferred. Experience supporting analytics or data science teams is preferred. Strong programming experience in Python and SQL; experience with Spark SQL preferred. Familiarity with CI/CD practices for data engineering workloads. Solid understanding of modern data warehousing and lakehouse concepts. Exposure to data governance, access control, and enterprise data is preferred. #CBSAS Why work with us? Join a local, family-owned business that’s part of a globally recognized brand, where you can develop your capabilities, competencies, and career. Coke Canada has a culture of learning, and we offer several channels to support your development, including on-the-job training and a library of free courses for just-in-time learning. We are committed to offering a comprehensive benefits package designed to help our employees achieve their best physical, mental, financial, and overall health and well-being. This includes a competitive compensation package, access to retirement and saving programs, family and employee assistance program, paid vacation and floater days. We have close, local connections with the communities in which we operate across Canada. We’re determined to make a positive difference in our communities; this includes opportunities for employee volunteerism. We’re building our business responsibly and our mission is to work Toward a Better Future Together. We have a plan that outlines how we are reducing, reusing, recycling, decreasing our carbon footprint, and using water responsibly. For more information visit cokecanada.com/sustainability/ Coke Canada has been recognized as one of Canada’s Best Employers for Diversity, and we’re committed to fostering a diverse, equitable and inclusive workplace. Together we are creating a workplace culture that values diversity, enables inclusivity and ensures everyone feels like they belong. We are aiming to ensure our diverse workforce is reflective of the communities in which we operate. Research shows that women-identifying and other marginalized individuals often hesitate to apply unless they meet 100% of the listed qualifications. If this role excites you, even if you don’t check every box, we encourage you to apply. Your unique experience and perspective could be what we’re looking for. Unless otherwise specified, this job post is for an existing vacancy. Our hiring process is human-driven and does not involve AI tools for screening, assessment, or selection. For individuals requiring accommodations or support throughout the recruitment process please call or email Important – please note All offers of employment at Coke Canada Bottling are conditional upon a successful background clearance obtained through our contracted third-party vendor. The standard clearance requirements depend on the position and may include some, or all, of the following: criminal clearance, employment verification, education verification and driver\'s abstract review. Please advise the Talent Acquisition team if you have any questions or concerns once you are contacted for further consideration. #J-18808-Ljbffr