Data Engineer, Databricks

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Job type: Full-time, permanent
Pay range: $100,000 – $120,000

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We’re looking for a Data Engineer, Databricks to join our IT team based in the Chester office in Vancouver, BC. This individual will report to the Vice-President of IT.
Job Overview: We are embarking on a transformative data journey to consolidate our data infrastructure into a unified Databricks lakehouse platform. As a Data Engineer, you will lead the technical implementation of our Databricks migration, establishing foundational data architecture, and mentoring team members to build a scalable, reliable data ecosystem. This role is critical for designing and implementing a comprehensive data strategy that drives business value through advanced analytics and AI capabilities.
You will have the opportunity to:
• Design and implement a medallion architecture (bronze, silver, gold) within Databricks to support data transformation, quality, and accessibility
• Develop robust ETL/ELT pipelines to ingest data from various sources including SQUARE Point of Sale (POS) system and our ERP (INforce)
• Establish governance frameworks using Unity Catalog to ensure data security, compliance, and proper access controls
• Collaborate with business stakeholders to standardize business definitions and logic through a well-designed semantic layer
• Mentor and upskill team members on Databricks technologies, best practices, and modern data engineering techniques
• Optimize data pipelines for performance and cost efficiency in cloud environments
• Implement data quality monitoring and testing frameworks to ensure reliable analytics

The impact you will have:
• Enable a single source of truth across the organization by consolidating disparate data sources into a unified lakehouse platform
• Accelerate business decision-making through standardized metrics and efficient data processing
• Establish a foundation for advanced analytics, AI/ML capabilities, and forecasting
• Build a scalable data architecture that supports the company’s long-term data strategy
• Create a culture of data excellence by mentoring team members and establishing best practices
• Drive the successful implementation of multi-phase data migration from legacy systems to modern cloud architecture

You will be a good fit if you have:
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks
• Strong proficiency in Python and SQL for data transformation and pipeline development
• Experience implementing medallion architecture and Delta Lake in production environments
• Practical knowledge of Unity Catalog and data governance frameworks
• Experience with cloud platforms, preferably AWS
• Demonstrated ability to mentor junior team members and communicate technical concepts effectively
• Experience with data modeling and implementing semantic layers
• Familiarity with data visualization tools (Power BI preferred)
• Experience migrating data from on-premises systems to cloud environments
• Databricks certification (e.g., Databricks Certified Data Engineer) is a plus

Get ready to enjoy:
• Flexible Work Arrangement Policy
• Extended Health & Dental Plan
• Sickness and Disability Plans
• RRSP Matching Program
• Profit Sharing depending on achieving the business goals
• Purdys Perks (Active Lifestyle Program, Tuition Reimbursement, Employee discount, and much more)

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We appreciate the interest of all applicants, and while we wish we could personally reach out to everyone, we can only contact those selected for an interview.


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