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Sleep Country

Principal Data Engineer

7920 Airport Road, Brampton, ON, L6T 4N8, Canada

The salary range for this position is $140,000.00-$160,000.00 annually. · Full-time

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Job details

Pay: The salary range for this position is $140,000.00-$160,000.00 annually.
Job type: Full-time
Experience: At least 10 years of experience in data engineering, data platforms, analytics engineering, or a related technical discipline.
Posting language: English
Posted: Oct 28, 2026

Original job description

Sleep Country/Dormez-vous? is seeking 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 a CAREER with opportunities for growth and advancement
Diverse and inclusive work environment
We will invest in you and provide extensive training, mentoring and continuous development
Access to training and development platforms
Full medical, dental benefits and a Deferred Profit Sharing Program
Annual Wellness Credit of up to $250.00 for any products/services that improve your health and well-being, i.e., health assessments, nutrition counselling, hiking shoes, a yoga outfit or fitness equipment!
Associate Discount Program where you will be able to enjoy some of the world’s best sleep products
Maternity/Parental leave top up benefits
Tuition Reimbursement Program that covers professional AND personal development
Long service awards, celebrations and other social events
Associate Referral Program
Paid day off to volunteer at your local charity of choice

Additional Information

This is a current open position. The salary range for this position is $140,000.00-$160,000.00 annually. Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labor market.

Our recruitment process incorporates various screening technologies, which may include AI, to screen for employability or suitability. Human recruiters review all applications.

Inclusion & Belonging

We are committed to building a company culture of inclusion and diversity where differences are embraced and valued, this allows us to better understand and meet the needs of our customers and the communities we serve. We want to ensure every job applicant is treated fairly and with respect regarding race, national or ethnic origin, religion, age, gender, sexual orientation, or disability. Upon request, accommodations are available during all stages of the recruitment process.

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.

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More about this job

Responsibilities

The Principal Data Engineer will lead enterprise data strategy and design scalable, secure data platforms to support analytics and AI initiatives. They will mentor engineering teams, establish architectural standards, and collaborate with stakeholders to deliver trusted data products.

Requirements

Candidates must possess a bachelor's degree and at least 10 years of experience in data engineering or related technical disciplines. Expert-level proficiency in SQL, Python, and cloud-based data frameworks is required.

Skills

Data architecture
Data engineering
SQL
Data modelling
Python
Azure Data Factory
Databricks
Azure Synapse
Microsoft Fabric
Data governance
ETL/ELT pipelines
Cloud platforms
CI/CD
Infrastructure as Code
DataOps

Benefits

Medical benefits
Dental benefits
Deferred Profit Sharing Program
Annual Wellness Credit
Associate Discount Program
Maternity/Parental leave top up
Tuition Reimbursement Program
Long service awards
Associate Referral Program
Paid volunteer day

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Enterprise Architecture
Cloud Platforms
Azure
Data Strategy
Analytics
AI
SQL
Python
ETL
ELT
Data Modelling
Data Governance
CI/CD
Infrastructure as Code
DataOps
Distributed Processing
Streaming Technologies
Metadata Management
Business Intelligence
Scalability
Data Quality
Observability
Technical Leadership
Mentorship
Data Lifecycle Management
Disaster Recovery
Operational Resilience
Automation
Cloud Data Platforms

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