Principal Software Engineer

lululemon is located at Vancouver, BC. The company is currently looking for applications for the role of Principal Software Engineer – Data and AI Platforms. 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. The employer is offering a full-time position.

Employer Name: lululemon
Position: Principal Software Engineer – Data and AI Platforms
Salary: $196,600 – $258,100 annually
Employment type: Full-time
Location: Vancouver, BC

Also hiring: Associate Curator

Job Description

• The candidate will be responsible for establishing the vision and approach for enterprise data initiatives while delivering technology solution designs efficiently.
• The candidate must demonstrate expert-level functional coding proficiency by writing high-quality production code to solve complex technical challenges when hands-on expertise is required.
• The candidate will work closely with architects to develop enterprise data platform technical architecture and system design and provide expertise on implementation approaches, feasibility assessments, and operational implications.
• The candidate will be responsible for evaluating existing architecture decisions, identifying system limitations, and proposing technical improvements based on system design expertise.
• The candidate will be responsible for delivering executive-level technical guidance on complex implementation challenges, build versus buy decisions, technology selection, and implementation risk assessments.
• The candidate will be responsible for leading engineering practices and technical workflows across the organization to strengthen technology development, technology operations, and engineering throughput.
• The candidate will be responsible for improving engineering velocity and throughput across multiple teams by optimizing processes, enhancing tools, and eliminating systemic blockers.

Job Requirements

• The candidate must possess a bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent experience.
• A master’s degree will be considered an asset.
• The candidate must have 11–15 years of progressive software engineering experience with demonstrated expertise in large-scale system design, technical architecture, and cross-functional leadership related to data systems and platforms or equivalent technology domains.
• The candidate must demonstrate expert-level coding ability with a proven track record of writing production code to solve critical and complex technical challenges across multiple languages and frameworks.
• The candidate will be required to demonstrate strong experience in evaluating complex system interactions and determining optimal technical solutions.
• The candidate must demonstrate the ability to make technical trade-off decisions that balance immediate delivery needs with long-term scalability and organizational objectives.
• The candidate must have experience defining implementation plans and execution approaches for complex technology programs involving multiple organizations or departments.
• The candidate must be familiar with working alongside architects to convert architectural designs into actionable engineering roadmaps.
• The candidate should possess in-depth experience in engineering implementations and broad knowledge to evaluate system-wide implications.
• The candidate must demonstrate the ability to make rapid, high-confidence decisions on when to engage directly with engineers and when to delegate responsibilities.
• The candidate must demonstrate the ability to influence product strategy and investment decisions through technical insights on feasibility, risk, and business impact.
• The candidate must have proven experience managing enterprise data lake architecture from end to end, including ingestion frameworks, pipeline orchestration, DataOps disciplines (CI/CD, SLAs, observability), platform reliability, and security, privacy, and access control in partnership with risk and compliance teams.
• The candidate must have experience building and governing shared data APIs and platform services that enable consistent and scalable downstream consumption across analytics, AI/ML, and operational use cases.
• The candidate must have experience defining enterprise semantic layers and canonical models, including taxonomies, ontologies, and knowledge graphs, for use across multiple product teams and business domains.
• The candidate should have exposure to AI-driven systems, including optimization, predictions, and Agents, along with experience working with knowledge representation for LLM-powered applications.
• The candidate must have experience building knowledge bases or data platforms in retail or similarly complex consumer domains.
• The candidate must acknowledge the presence of choice in every moment and take personal responsibility for their actions and decisions.
• The candidate must possess an entrepreneurial spirit and continuously seek innovative ways 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, recognizing that the possibility of greatness is greater than 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.

Additional information

Work conditions

• The candidate will be required to support in-person collaboration and connection as an essential part of the company culture.
• The candidate will be required to perform work onsite for a minimum of 4 days per week.

Benefits

If you are interested in applying, please submit your application through the provided channels or options.

Online