Senior Data Engineer

lululemon is located at Vancouver, BC. The company is currently looking for applications for the role of Senior Data Engineer – Retail Engineering (Snowflake). We are seeking a self-disciplined individual with exceptional interpersonal skills. The chosen applicant will be required to join and begin their duties as soon as possible. This is a Full-time employment opportunity.

Employer Name: lululemon
Position: Senior Data Engineer – Retail Engineering (Snowflake)
Salary: $132,600 – $174,000 annually
Employment type: Full-time
Location: Vancouver, BC

• The candidate will lead the design and implementation of complex data systems and pipelines spanning multiple data sources and destinations.
• The candidate will be responsible for defining technical direction for the data domain, including data quality standards, pipeline patterns, and governance practices, while ensuring scalable and reliable solutions.
• The candidate will conduct high-impact code reviews with a focus on data quality and system performance.
• The candidate will establish data engineering standards to be adopted across the domain.
• The candidate must provide mentorship to data engineers at different stages, offering guidance on complex data concepts and career development.
• The candidate must work closely with analytics and business stakeholders to define data strategy and roadmap plans.
• The candidate must take ownership of resolving critical data quality and data pipeline issues.
• The candidate will write exemplary data transformation code that demonstrates data engineering best practices for critical systems as a technical reference for teams.

Job Requirements

• The candidate must hold a Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline, or have equivalent experience.
• The candidate with a Master’s degree will be considered an asset.
• The candidate must have 6–10 years of experience developing enterprise data solutions and leading data infrastructure efforts across engineering teams, or equivalent.
• The candidate must have proven experience designing data system architectures for a domain, balancing data requirements and constraints, with a track record of driving data pipeline design decisions across multiple teams.
• The candidate must have deep knowledge of relational databases, NoSQL databases, and cloud data warehouses, and experience selecting appropriate storage solutions and designing complex multi-system data architectures.
• The candidate must demonstrate the ability to establish data quality standards, governance frameworks, and monitoring practices across a domain.
• The candidate must have 5–7+ years of advanced Power BI experience, including enterprise data modeling, DAX, performance tuning, and production deployments.
• The candidate must have strong hands-on experience with modern data platforms, including Azure Data Factory (or equivalent orchestration tools) and Snowflake architecture, performance tuning, and Medallion data modeling.
• The candidate must demonstrate leadership in data governance and quality, including establishing monitoring, observability, and data quality frameworks across analytics domains.
• The candidate is required to demonstrate personal accountability and awareness in all aspects of work and decision-making.
• The candidate must demonstrate an entrepreneurial mindset and a commitment to continuous innovation to achieve strong results.
• The candidate must communicate with honesty and kindness while encouraging others to do the same.
• The candidate must lead with courage and confidence, embracing opportunities while not being limited by the fear of failure.
• The candidate must foster connection by putting people first and building trusting relationships.
• The candidate must demonstrate a positive attitude and balance professionalism with a sense of fun and joy in the workplace.
• The candidate must be legally authorized to work in Canada for this role.

Work conditions

• The candidate will be required to work onsite a minimum of four days per week to support in-person collaboration and team connectivity.
• The candidate will receive access to people networks, mentorship programs, and leadership development series.