Data Engineer at Concept Reply developing innovative data - driven solutions in IoT. Collaborating with teams to unlock the potential of data and cloud computing.
About the role
- Data Architect shaping data strategy for Coke Canada Bottling. Collaborating across teams to design scalable data architecture supporting AI and analytics.
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 / OneLake 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 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
Requirements
- 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
Benefits
- Comprehensive benefits package designed for physical, mental, financial, and overall health and well-being
- Competitive compensation package
- Access to retirement and savings programs
- Family and employee assistance program
- Paid vacation and floater days
- Hybrid or remote work opportunities
- Opportunities for employee volunteerism
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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