Data Architect

This job is with Coca-Cola, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve.

We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
Coke Canada Bottling is Canada's Local Bottler. We're Made Local.
Facility and main work Location - King St, Toronto, ON
This role can be hybrid and in office Tuesday, Wednesday and Thursday or Work From Home in Ontario
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 - Dec 5, 2025  
* extended until January 20th, 2026

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.
About This Opportunity   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.
Responsibilities    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.
Build architecture components enabling AI / ML (feature stores, model data feeds, metadata services, data catalogs).
Shape modernization efforts, guiding…