Lululemon

Who we are

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.

About this team 

The Data & Analytics team supporting the CFO organization plays a critical role in enabling data-driven financial decision-making across the enterprise. The team partners with the Product organization to design and deliver scalable data products, analytics platforms, and automation solutions. By ensuring data quality, accessibility, and insight generation, they empower leaders to make informed strategic and operational decisions. The team bridges technology and finance, driving transformation initiatives that enhance financial transparency and overall business performance.

Core responsibilities 

As a Senior Data Engineer, you will lead the design and implementation of complex data systems and pipelines spanning multiple data sources and destinations, establishing technical direction for the data domain including data quality standards, pipeline patterns, and governance practices while ensuring solutions meet scalability and reliability requirements. You will make implementation decisions for data domain including data modeling approaches, transformation logic, and optimization strategies, conduct high-impact code reviews focusing on data quality and system performance, and establish data engineering standards adopted across the domain. You will mentor data engineers at multiple levels providing guidance on advanced data concepts and career development, partner with analytics and business stakeholders on data strategy and roadmap planning, and lead resolution of critical data quality issues and pipeline failures.

Select responsibilities include:

• Lead implementation of complex data systems and pipelines spanning multiple data sources and destinations within established data architecture frameworks
• Write exemplary data transformation code demonstrating data engineering best practices in critical systems as technical reference for teams
• Establish and enforce data quality standards, pipeline patterns, and data engineering best practices across multiple teams in data domain
• Conduct high-impact code reviews focusing on data quality, performance, and long-term maintainability of data systems
• Lead incident response for major data pipeline failures including coordination and post-mortem facilitation

 Qualifications 

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent experience; Master’s degree beneficial
• 6-10 years of experience building enterprise data solutions and leading data infrastructure initiatives across engineering teams, or equivalent
• Proven experience designing data system architectures for a domain balancing data requirements and constraints; track record of driving data pipeline design decisions across multiple teams
• Deep knowledge of relational databases, NoSQL databases, cloud data warehouses, and selecting appropriate storage solutions for use cases; experience designing complex data architectures across multiple storage systems
• Demonstrated ability to establish data quality standards, quality and governance frameworks, and monitoring practices across a domain
• Proven work experience in Power BI, including DAX, data modeling, and visualization best practices
• Strong SQL skills for data extraction and transformation and robust knowledge of relational databases and data warehousing concepts

additional notes
Immigration support is potentially available for this role.

compensation and benefits package 

lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $123,500 - $162,100 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.  

At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:

• Extended health and dental benefits, and mental health plans 
• Paid time off 
• Savings and retirement plan matching 
• Generous employee discount 
• Fitness & yoga classes 
• Parenthood top-up 
• Extensive catalog of development course offerings 
• People networks, mentorship programs, and leadership series (to name a few) 

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

workplace arrangement

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.