Data Architect

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• Facility and Work Location - King St, Toronto, ON
• Hybrid Work Environment - Must be in the office on Tuesday, Wednesday and Thursday

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.

For more information about Coke Canada Bottling and our products, visit

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.

Reporting to the Director, Intelligent Data and Enterprise Automation, the Data Architect will shape and guide the data architecture behind our Unified Data Platform, the foundation for harmonized, AI-ready, enterprise-wide data. You’ll be a connector and a builder, bridging technology strategy with real-world execution. You’ll collaborate across business, analytics, and engineering teams to design scalable, secure, and future-ready data patterns that unlock analytics, automation, and machine learning.

This is an exciting opportunity to join a supportive, forward-thinking team that values creativity, speed, and impact, and to play a central role in Coke Canada’s AI and automation journey.

• Elevate and evolve enterprise data architecture principles, models, and patterns that support Coke Canada’s Unified Data Platform and AI-readiness roadmap.
• Design and develop logical and physical models, data domains, lineage, and integration frameworks across raw, base, dimensional, and gold layers (Fabric / Snowflake / One Lake ecosystem).
• Foster interoperability by partnering with Data Engineering and Application teams to design reusable ingestion frameworks, data APIs, and integration patterns that empower enterprise-wide reuse.
• Collaborate closely with Master Data, Cyber Security, and Data Governance to uphold standards for data quality, security, and privacy.
• Shape modernization efforts, guiding migration strategies from legacy systems to our new Unified Data Platform.
• Engage with business stakeholders to translate use cases into scalable solutions (sales, supply chain, operations analytics, etc.).
• Contribute to governance forums and mentor technical teams on best practices and design patterns.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a closely related field.
• At least 8 years of experience in data architecture, modelling, and data engineering with enterprise-scale systems.
• Expertise in data modelling (conceptual, logical, physical), ETL / ELT design, and data integration (REST, API, event streams).
• Deep knowledge of cloud data platforms (Azure Fabric, Snowflake, Databricks preferred) and modern data warehouse / lake / mesh architectures.
• Experience with data governance, metadata management, lineage, and data quality frameworks.
• Proven success implementing scalable data solutions enabling analytics and automation.
• Strong communication skills to translate technical design into business value and to influence cross-functional leaders.
• Collaborative mindset and ability to work within a multidisciplinary team across Data, Automation, AI, and Governance.
• Familiarity with Microsoft Power Platform and low-code integration is an asset.

• 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…