Lululemon Senior Data Engineer

Description & RequirementsWho we arelululemon 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 teamThe 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 responsibilitiesAs 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.
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 drivingdata 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 notesImmigration support is potentially available for this role.
compensation and benefits packagelululemon'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 isbased 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.
Extended health and dental be