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Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now!

Lululemon

Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Role Overview

Join Lululemon's innovative Data Engineering team as a Senior Engineer I, Data Engineering in Vancouver, British Columbia. Lululemon is a global leader in performance apparel for yoga, running, training, and athletic pursuits. We're setting the bar with technical fabrics and functional design while building transformational products that inspire movement, growth, and wellness. As a Senior Data Engineer, you'll lead high-impact projects using Snowflake, Power BI, and modern DataOps practices to drive business intelligence and analytics at scale.

Our Engineering team embraces Agile, DevOps, and SRE philosophies to deliver secure, reliable, and performant solutions. You'll collaborate with global teams, mentor junior engineers, and maintain production systems while championing Medallion architecture and observability. This role offers the chance to innovate in a supportive, inclusive environment focused on positive change and community impact.

Key Responsibilities at Lululemon

As a Senior Engineer I, Data Engineering, you'll take ownership of critical data infrastructure. Here are your core duties:

  • Mentor and lead a team of engineers through Agile ceremonies, providing guidance on day-to-day processes and production readiness.
  • Design dimensional data models (fact/dimension) to enable performant analytics and consistent reporting across the organization.
  • Implement observability practices including structured logging, metrics, and distributed tracing for faster issue diagnosis and transparency.
  • Champion DataOps with version-controlled transformations, automated testing, CI/CD pipelines, and data quality validation.
  • Build and optimize Snowflake data warehouses for scalability, high-performance analytics, and seamless data integration.
  • Develop Power BI dashboards and insightful visual reports to support data-driven decision-making for business stakeholders.
  • Maintain semantic layers ensuring standardized metrics and business definitions in tools like Power BI and dbt.
  • Apply Medallion architecture (bronze, silver, gold layers) for structured, scalable data pipelines with clear lineage.
  • Monitor production metrics, participate in on-call rotations, and serve as escalation point for data system issues.
  • Contribute to automation and research for troubleshooting, optimization, and tool selection in data engineering.

Qualifications & Requirements

To succeed in this Lululemon Data Engineering role, you need:

  • Bachelor's Degree in Computer Science, IT Engineering, or equivalent with 5-8 years of experience.
  • Expertise in Snowflake data warehousing, Power BI dashboard development, and data pipeline engineering.
  • Strong knowledge of DataOps, dimensional modeling, semantic layers, and Medallion architecture.
  • Experience with observability tools (OpenTelemetry, Datadog, Azure Monitor) and CI/CD pipelines using Git.
  • Familiarity with tools like Jira, PagerDuty, and ServiceNow for collaboration and incident management.
  • Entrepreneurial mindset with strong communication, leadership, and problem-solving skills.

Must-haves include taking personal responsibility, innovating continuously, and leading with courage in a collaborative environment.

Salary & Benefits

Earn a competitive salary in the Vancouver tech market while enjoying top-tier perks. Lululemon offers:

  • Salary range: $140,000 - $180,000 CAD annually, based on experience.
  • Performance bonuses and equity options.
  • Comprehensive health, dental, vision, and mental health benefits.
  • Generous PTO, flexible vacation, and parental leave.
  • Employee discounts on Lululemon products.
  • Professional development funding for certifications like Snowflake or Power BI.
  • Wellness programs with yoga and fitness reimbursements.
  • Modern hybrid work setup in Vancouver's vibrant tech scene.

Why Join Lululemon?

Lululemon isn't just apparel—it's a movement. Work with a company committed to equity, inclusion, and growth. Our Vancouver headquarters offers an inspiring environment where you'll build scalable data solutions powering global retail, e-commerce, and guest experiences. Enjoy collaborative teams, cutting-edge tech stacks, and real impact on a healthier future. With our focus on people, innovation, and community, this Senior Data Engineer role is perfect for tech leaders passionate about fitness and data.

How to Apply

Ready to elevate your career? Apply now for the Senior Engineer I, Data Engineering position at Lululemon in Vancouver, BC. Submit your resume highlighting Snowflake, Power BI, and DataOps experience. Join us to innovate, mentor, and drive data excellence. Positions fill fast—don't miss out!

Locations

  • Vancouver, British Columbia, Canada

Salary

Estimated Salary Rangehigh confidence

140,000 - 180,000 CAD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Snowflake Data Warehousingintermediate
  • Power BI Dashboardsintermediate
  • Data Engineering Pipelinesintermediate
  • DataOps Methodologiesintermediate
  • Dimensional Data Modelingintermediate
  • Medallion Architectureintermediate
  • CI/CD Pipelinesintermediate
  • Git Version Controlintermediate
  • Observability Toolsintermediate
  • Structured Loggingintermediate
  • Distributed Tracingintermediate
  • Semantic Layer Developmentintermediate
  • Agile Engineeringintermediate
  • Jira Collaborationintermediate
  • PagerDuty On-Callintermediate

Required Qualifications

  • Bachelor's Degree in IT Engineering, Computer Science, or related field with 5-8 years of relevant experience (experience)
  • Proven experience designing and optimizing modern data warehousing solutions on Snowflake for high-performance analytics (experience)
  • Expertise in developing interactive dashboards and visual reports using Power BI to drive data-driven decisions (experience)
  • Strong background in building Data Engineering pipelines to collect, transform, and integrate data from diverse sources (experience)
  • Hands-on experience with observability tools like OpenTelemetry, Azure Monitor, or Datadog for data systems instrumentation (experience)
  • Deep understanding of dimensional modeling, semantic modeling (Power BI, dbt Semantic Layer), and Medallion architecture principles (experience)

Responsibilities

  • Provide mentorship and facilitate engineering training for a team of Engineers while serving as a central escalation point
  • Actively monitor key metrics, report on trends, and participate in on-call support rotations for production systems
  • Design and implement dimensional data models (fact/dimension structures) for performant and consistent analytics
  • Champion DataOps principles including version-controlled data transformations, automated testing, and CI/CD deployment
  • Implement and maintain observability practices with structured logging, metrics, and distributed tracing for end-to-end visibility
  • Contribute to engineering automation, management, and development of production-level data systems and pipelines
  • Conduct research for product troubleshooting, optimization, and guide tool selection for data engineering initiatives
  • Maintain the semantic layer to ensure standardized business definitions and metrics across reporting tools
  • Apply Medallion architecture (bronze, silver, gold) to structure scalable data pipelines with clear lineage and quality validation

Benefits

  • general: Competitive salary range with performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Extended health benefits including mental health support
  • general: Generous paid time off and flexible vacation policy
  • general: Employee product discounts on Lululemon apparel and gear
  • general: Professional development budget for certifications and training
  • general: Hybrid work options with modern Vancouver office facilities
  • general: Stock options and equity participation in company growth
  • general: Wellness programs including yoga classes and fitness reimbursements
  • general: Parental leave benefits and family-friendly policies

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Tags & Categories

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Lululemon logo

Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now!

Lululemon

Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Role Overview

Join Lululemon's innovative Data Engineering team as a Senior Engineer I, Data Engineering in Vancouver, British Columbia. Lululemon is a global leader in performance apparel for yoga, running, training, and athletic pursuits. We're setting the bar with technical fabrics and functional design while building transformational products that inspire movement, growth, and wellness. As a Senior Data Engineer, you'll lead high-impact projects using Snowflake, Power BI, and modern DataOps practices to drive business intelligence and analytics at scale.

Our Engineering team embraces Agile, DevOps, and SRE philosophies to deliver secure, reliable, and performant solutions. You'll collaborate with global teams, mentor junior engineers, and maintain production systems while championing Medallion architecture and observability. This role offers the chance to innovate in a supportive, inclusive environment focused on positive change and community impact.

Key Responsibilities at Lululemon

As a Senior Engineer I, Data Engineering, you'll take ownership of critical data infrastructure. Here are your core duties:

  • Mentor and lead a team of engineers through Agile ceremonies, providing guidance on day-to-day processes and production readiness.
  • Design dimensional data models (fact/dimension) to enable performant analytics and consistent reporting across the organization.
  • Implement observability practices including structured logging, metrics, and distributed tracing for faster issue diagnosis and transparency.
  • Champion DataOps with version-controlled transformations, automated testing, CI/CD pipelines, and data quality validation.
  • Build and optimize Snowflake data warehouses for scalability, high-performance analytics, and seamless data integration.
  • Develop Power BI dashboards and insightful visual reports to support data-driven decision-making for business stakeholders.
  • Maintain semantic layers ensuring standardized metrics and business definitions in tools like Power BI and dbt.
  • Apply Medallion architecture (bronze, silver, gold layers) for structured, scalable data pipelines with clear lineage.
  • Monitor production metrics, participate in on-call rotations, and serve as escalation point for data system issues.
  • Contribute to automation and research for troubleshooting, optimization, and tool selection in data engineering.

Qualifications & Requirements

To succeed in this Lululemon Data Engineering role, you need:

  • Bachelor's Degree in Computer Science, IT Engineering, or equivalent with 5-8 years of experience.
  • Expertise in Snowflake data warehousing, Power BI dashboard development, and data pipeline engineering.
  • Strong knowledge of DataOps, dimensional modeling, semantic layers, and Medallion architecture.
  • Experience with observability tools (OpenTelemetry, Datadog, Azure Monitor) and CI/CD pipelines using Git.
  • Familiarity with tools like Jira, PagerDuty, and ServiceNow for collaboration and incident management.
  • Entrepreneurial mindset with strong communication, leadership, and problem-solving skills.

Must-haves include taking personal responsibility, innovating continuously, and leading with courage in a collaborative environment.

Salary & Benefits

Earn a competitive salary in the Vancouver tech market while enjoying top-tier perks. Lululemon offers:

  • Salary range: $140,000 - $180,000 CAD annually, based on experience.
  • Performance bonuses and equity options.
  • Comprehensive health, dental, vision, and mental health benefits.
  • Generous PTO, flexible vacation, and parental leave.
  • Employee discounts on Lululemon products.
  • Professional development funding for certifications like Snowflake or Power BI.
  • Wellness programs with yoga and fitness reimbursements.
  • Modern hybrid work setup in Vancouver's vibrant tech scene.

Why Join Lululemon?

Lululemon isn't just apparel—it's a movement. Work with a company committed to equity, inclusion, and growth. Our Vancouver headquarters offers an inspiring environment where you'll build scalable data solutions powering global retail, e-commerce, and guest experiences. Enjoy collaborative teams, cutting-edge tech stacks, and real impact on a healthier future. With our focus on people, innovation, and community, this Senior Data Engineer role is perfect for tech leaders passionate about fitness and data.

How to Apply

Ready to elevate your career? Apply now for the Senior Engineer I, Data Engineering position at Lululemon in Vancouver, BC. Submit your resume highlighting Snowflake, Power BI, and DataOps experience. Join us to innovate, mentor, and drive data excellence. Positions fill fast—don't miss out!

Locations

  • Vancouver, British Columbia, Canada

Salary

Estimated Salary Rangehigh confidence

140,000 - 180,000 CAD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Snowflake Data Warehousingintermediate
  • Power BI Dashboardsintermediate
  • Data Engineering Pipelinesintermediate
  • DataOps Methodologiesintermediate
  • Dimensional Data Modelingintermediate
  • Medallion Architectureintermediate
  • CI/CD Pipelinesintermediate
  • Git Version Controlintermediate
  • Observability Toolsintermediate
  • Structured Loggingintermediate
  • Distributed Tracingintermediate
  • Semantic Layer Developmentintermediate
  • Agile Engineeringintermediate
  • Jira Collaborationintermediate
  • PagerDuty On-Callintermediate

Required Qualifications

  • Bachelor's Degree in IT Engineering, Computer Science, or related field with 5-8 years of relevant experience (experience)
  • Proven experience designing and optimizing modern data warehousing solutions on Snowflake for high-performance analytics (experience)
  • Expertise in developing interactive dashboards and visual reports using Power BI to drive data-driven decisions (experience)
  • Strong background in building Data Engineering pipelines to collect, transform, and integrate data from diverse sources (experience)
  • Hands-on experience with observability tools like OpenTelemetry, Azure Monitor, or Datadog for data systems instrumentation (experience)
  • Deep understanding of dimensional modeling, semantic modeling (Power BI, dbt Semantic Layer), and Medallion architecture principles (experience)

Responsibilities

  • Provide mentorship and facilitate engineering training for a team of Engineers while serving as a central escalation point
  • Actively monitor key metrics, report on trends, and participate in on-call support rotations for production systems
  • Design and implement dimensional data models (fact/dimension structures) for performant and consistent analytics
  • Champion DataOps principles including version-controlled data transformations, automated testing, and CI/CD deployment
  • Implement and maintain observability practices with structured logging, metrics, and distributed tracing for end-to-end visibility
  • Contribute to engineering automation, management, and development of production-level data systems and pipelines
  • Conduct research for product troubleshooting, optimization, and guide tool selection for data engineering initiatives
  • Maintain the semantic layer to ensure standardized business definitions and metrics across reporting tools
  • Apply Medallion architecture (bronze, silver, gold) to structure scalable data pipelines with clear lineage and quality validation

Benefits

  • general: Competitive salary range with performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: Extended health benefits including mental health support
  • general: Generous paid time off and flexible vacation policy
  • general: Employee product discounts on Lululemon apparel and gear
  • general: Professional development budget for certifications and training
  • general: Hybrid work options with modern Vancouver office facilities
  • general: Stock options and equity participation in company growth
  • general: Wellness programs including yoga classes and fitness reimbursements
  • general: Parental leave benefits and family-friendly policies

Target Your Resume for "Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now!" , Lululemon

Get personalized recommendations to optimize your resume specifically for Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now!" , Lululemon

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data EngineeringSnowflakePower BIDataOpsVancouver JobsLululemon CareersSenior EngineerTech Jobs CanadaAgile EngineeringSenior Data Engineer Lululemon VancouverData Engineering jobs Vancouver BCSnowflake Data Engineer careers CanadaPower BI Developer LululemonDataOps Engineer Snowflake jobsMedallion architecture data jobsSenior Engineer Data Pipeline LululemonDimensional modeling engineer VancouverLululemon tech jobs British ColumbiaObservability DataOps Lululemon careersCI/CD Data Engineering SnowflakePower BI dashboards Lululemon jobsSemantic layer dbt LululemonAgile Data Engineer Vancouver salaryLululemon Engineering on-call rolesData warehouse Snowflake Canada jobs

Answer 10 quick questions to check your fit for Senior Engineer I, Data Engineering Careers at Lululemon - Vancouver, British Columbia | Apply Now! @ Lululemon.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

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