Principal Data Engineer

At Sleep Country Canada/Dormez-vous? (SCC/DV), we are inspired every day through our purpose to transform lives by awakening Canadians to the power of sleep and our vision to champion sleep as the key to healthier and happier lives, helping everyone achieve better tomorrows through better tonight’s. Guided by our values – We CARE About People; We WIN Together; We DREAM Big and We DELIVER with Excellence – we are building on our 30-year foundation of taking care of each other and our customers’ sleep needs, with passion and commitment to be the best that we can be. We invest in our sleep ecosystem, innovative products, world-class customer experience, our communities and diverse best-in-class team to be Canada’s leading sleep partner. We’re looking for someone to join our exceptional team as we continue to advance the future of sleep wellness.

Job Description

Sleep Country/Dormez-vous? isseeking a Principal Data Engineer to provide senior technical leadership for our enterprise data strategy, platform architecture, and engineering capabilities. You will design scalable, secure, and future-ready data platforms supporting analytics, operational reporting, AI, and business innovation.

Working closely with stakeholders across Business Intelligence, Digital, Finance, Supply Chain, Operations, and Technology, the Principal Data Engineer drives the design and evolution of modern data platforms that deliver trusted, secure, and accessible data products at scale. The role champions engineering excellence, establishes best practices and architectural standards, drives innovation through modern cloud and data technologies, mentors technical team members, and influences enterprise technology decisions to support the organization's long-term data, analytics, and AI transformation strategy.

In this current open role you will:

• Lead enterprise data architecture and strategy.
• Design and modernize scalable, secure, high-performing data platforms.
• Ensure data quality, reliability, observability, governance, security, and compliance.
• Partner with business and technology stakeholders to deliver strategic data solutions.
• Mentor engineering teams and promote innovation and continuous improvement.
• Establish best practices for data engineering, modelling, testing, CI/CD, infrastructure automation, and platform governance.
• Evaluate and implement emerging data technologies and architectural approaches.
• Design and optimize enterprise-scale ETL and ELT pipelines.
• Define technical roadmaps for enterprise data platforms and align investments with business priorities.
• Develop reusable data products, frameworks, and integration patterns that accelerate delivery across teams.
• Set standards for data architecture, modelling, lineage, metadata, and lifecycle management.
• Conduct architecture and design reviews to ensure solutions are scalable, maintainable, and cost-effective.
• Improve platform performance, availability, disaster recovery, and operational resilience.
• Establish monitoring and alerting practices to proactively identify data-quality and pipeline issues.
• Collaborate with analytics and AI teams to deliver reliable, accessible, and well-governed datasets.
• Provide technical guidance on build-versus-buy decisions and technology selection.
• Identify opportunities to simplify legacy environments and reduce technical debt.
• Communicate complex technical concepts, risks, and recommendations to business and technology leaders.

The qualifications and experience we like to see:

• Bachelor’s degree in Computer Science, Engineering, Data, or a related field.
• At least 10 years of experience in data engineering, data platforms, analytics engineering, or a related technical discipline.
• Proven experience designing enterprise-scale data architectures and cloud data platforms.
• Expert-level SQL and data-modelling skills.
• Strong proficiency in Python and modern data-engineering frameworks.
• Extensive experience developing and optimizing ETL/ELT pipelines at scale.
• Deep cloud-platform expertise, preferably with Microsoft Azure technologies such as Azure Data Factory, Databricks, Synapse, Fabric, Data Lake, and Azure DevOps.
• Strong understanding of distributed processing, real-time data integration, and streaming technologies.
• Experience with DataOps, CI/CD, Infrastructure as Code, and automated testing.
• Strong knowledge of data governance, security, privacy, and metadata management.

Why members of our Corporate team love working at Sleep Country Canada/Dormez-vous?:

• This is not a job but aCAREERwith opportunities for growth and advancement
• Diverse and inclusive work environment
• We will i