Lead, Data Engineer

The Enterprise Analytics function at Canfor has a vision to deliver data information and tools to employees at all operating levels and across all business lines to support decision-making that drives operational efficiency product diversification and innovation.

Why This Role Matters

• Help shape a modern data and analytics foundation that powers real-time insights AI-driven decisions and enterprise-wide impact.
• Be at the forefront of advancing our data and AI strategy influencing how teams across the business work decide and innovate.

The Lead Data Engineer provides technical leadership for the design development and evolution of enterprise data architecture and data engineering practices. This is a hands-on lead role that combines technical delivery with architecture leadership guiding solution design engineering standards and implementation across the data platform. The role establishes engineering standards guides implementation across multiple data initiatives and is accountable for delivering scalable secure and high-performing data solutions that align with business objectives and support innovation across cloud-based analytics platforms.

The role requires strong partnership with business analytics data science architecture and IT teams to shape Canfors next-generation analytics platform lead delivery across multiple workstreams and ensure data platform capabilities effectively support enterprise reporting advanced analytics AI and operational decision-making.

A day in the life of the Lead Data Engineer includes:

• Lead the design and implementation of batch real-time and streaming data pipelines in Microsoft Fabric while establishing engineering standards reusable patterns and delivery best practices.
• Design and build event-driven and near real-time data processing solutions that enable reliable scalable data movement
• Own the evolution of the data platform including scalability reliability observability resiliency and cost optimization.
• Enable data platforms that support AI/ML and Generative AI use cases
• Establish data observability monitoring and data quality SLAs to ensure trusted resilient data solutions across the analytics platform
• Establish and enforce processes and controls that maintain the security quality accountability availability and compliance of enterprise data assets.
• Partner with business and IT leaders to shape roadmaps lead delivery planning manage technical tradeoffs and execute projects within time and budget constraints.
• Establish and maintain architecture engineering operational and support documentation standards for the data platform.
• Translate business requirements into scalable data platform designs and guide solution implementation to support analytics and reporting delivery.
• Partner with analytics and data science teams to operationalize advanced analytics solutions
• Lead architecture and design decisions for enterprise data solutions while defining and governing data engineering standards reference patterns and best practices.
• Evaluate recommend and guide the adoption of new tools frameworks and technologies aligned with platform strategy engineering maturity and business value.
• Lead design reviews code reviews and technical coaching for data engineering team members to ensure quality consistency and capability growth across the team.
• Define and enforce data engineering standards CI/CD practices testing approaches and release management processes for the enterprise data platform.
• Lead technical planning across multiple workstreams proactively identifying risks dependencies and design tradeoffs.
• Champion data platform capabilities that support AI/ML Generative AI semantic models and enterprise data product use cases.

For this role youll come equipped with:

• Bachelors degree in Computer Science Information Systems Mathematics or Statistics
• 710 years of experience in enterprise data warehousing analytics and data platform engineering.
• 7 years of demonstrated experience designing and delivering data engineering ELT and streaming solutions including technical leadership across complex initiatives.
• Proven track record designing and evolving scalable secure and cost-effective cloud data architectures in an enterprise environment.
• Proven experience in database design data schema design and data modeling
• Experience defining and governing enterprise data architecture standards engineering frameworks and reference patterns.
• Experience delivering ETL/ELT solutions for importing data from a wide variety of sources
• Experience working with Microsoft Fabric or Azure Products: Microsoft Fabric Azure Synapse Azure Data Factory Azure Purview Azure DevOps etc.
• Experience designing and building cloud data architecture to facilitate data pipelines and analysis workflows within a cloud environment (preferably Microsoft Fabric)
• Experience with Enterprise Resource Planning systems (preferably Oracle) is an asset
• Demonstrated experience leading large-scale cross-functional or enterprise-wide data platform initiatives from design through implementation.
• Demonstrated experience mentoring engineers leading technical design decisions and influencing engineering direction without requiring formal people management.
• Experience with data observability monitoring lineage testing and data quality controls in cloud data platforms.
• Experience with CI/CD DevOps practices and automation for data platform deployment and lifecycle management.
• Experience enabling data platforms that support advanced analytics AI/ML and Generative AI workloads is strongly preferred.
• Self-starter with the ability to meet the needs of a demanding business and IT environment
• Ability to learn and apply new and emerging concepts and technologies
• Willingness to go above and beyond to understand both business and technical aspects
• Excellent verbal listening and written communication skills
• Communicates ideas both technical and solution focused in an easy-to-understand language
• Ability to align technical solutions with business strategy
• Excellent analytics mathematical and creative problem-solving skills
• Detail-oriented and self-motivated

The salary range for this position is: $120000 - $140000

Please Note: The range provided is for base salary addition to base salary Canfor proudly offers its employees a comprehensive and competitive total rewards package. It features programs such as performance-based incentive plans recognition programs benefits paid leaves pension plans with base and matching contributions savings options and robust health & well-being initiatives. We also continually invest in the development of our talent to help them thrive professionally and personally. Above all we are proud to offer our employees a value proposition that promotes diversity equity and inclusion and fosters an environment where talent and performance is recognized and rewarded.

We appreciate all candidates interest but will contact only those selected for interviews. Our hiring for various positions is ongoing and includes different screening processes such as behavioral assessments references and criminal record checks depending on the role and location. #CADS #LI-ZM1