lululemon Technology Director, Enterprise Data Platform

lululemon; Seattle (WA); On-site; USD 205,900 - 270,300; Full time

Benefits offered by this job

Extended health and dental benefits

Paid time off

Generous employee discount

Fitness & yoga classes

Job summary

lululemon is seeking an experienced professional to lead the Enterprise Data & AI organization in Seattle. You'll design and operate the enterprise data platform, ensuring data integrity and security. The position requires 8–10+ years in data engineering and experience leading teams.

Strong collaboration with stakeholders is crucial for aligning platform capabilities with business objectives. The role offers competitive compensation and a dynamic work environment focused on collaboration and accountability.

Qualifications

• 8–10+ years of experience engineering data platforms and services.
• 5+ years leading engineering teams focused on data engineering and data platforms.
• Strong collaboration and stakeholder management skills.

Responsibilities

• Design, build, and operate the enterprise data platform.
• Lead development of robust data integration capabilities.
• Manage budgets, resources, and priorities in operational execution.

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, or related quantitative field

Master's degree beneficial

Tools

Data lakes

Data warehouses

Streaming platforms

Job description

Description & Requirements

About the Team

The Enterprise Data & AI organization is a strategic and operational driver of growth, building data and AI platforms that enable intelligent operations across the organization.

Core Responsibilities

• Design, build, and operate the enterprise data platform that supports data and analytics across the organization.
• Develop the enterprise data architecture blueprint and lead the build of the data platform for data discovery, aggregation, and downstream consumption.
• Drive operational excellence focusing on availability, observability, security, access controls, reliability, and performance.
• Deliver standardized, reusable platform services that support data product and analytics teams, improving platform efficiency, scalability, and self‑service capabilities.
• Lead development of robust data integration capabilities, including batch and real‑time pipelines (ETL/ELT, streaming, APIs, CDC), and ensure high‑quality data delivery for business‑critical use cases.
• Partner with data governance and security teams to ensure adherence to enterprise data policies, standards, and regulatory requirements.
• Embed data quality, lineage, and observability practices within platform capabilities and promote trusted data assets.
• Lead adoption of modern data engineering tools, technologies, and best practices, and continuously enhance developer experience and platform usability.
• Translate sub‑functional strategy into actionable roadmaps, deliver against objectives, and manage budgets, resources, and priorities.
• Collaborate with data product, analytics, AI, and business stakeholders to align platform capabilities with evolving needs and support delivery teams with scalable, secure data access patterns.
• Build, lead, and develop a high‑performing data platform engineering organization, fostering a culture of accountability, collaboration, continuous improvement, and technical excellence.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field (Master's degree beneficial).
• 8–10+ years of experience engineering data platforms and services in large‑scale or complex environments.
• 5+ years of experience leading engineering teams focused on data engineering and data platform.
• Strong expertise in data engineering, cloud data platforms, enterprise data architecture, and distributed data processing technologies.
• Experience building and operating enterprise‑grade data infrastructure, including data lakes, warehouses, and streaming platforms.
• Demonstrated ability to manage operational execution while supporting broader strategic objectives.
• Strong collaboration and stakeholder management skills across technical and business teams.
• Experience working within established data strategies and governance frameworks.

Desired Qualities

• Acknowledge the presence of choice in every moment and take personal responsibility for your life.
• Possess an entrepreneurial spirit and continuously innovate to achieve great results.
• Communicate with honesty and kindness and create space for others to do the same.
• Lead with courage, knowing the possibility of greatness is greater than the fear of failure.
• Foster connection by putting people first and building trusting relationships.
• Integrate fun and joy as a way of being and working, and not take yourself too seriously.

Compensation and Benefits

lululemon's compensation offerings are grounded in a pay‑for‑performance philosophy. The typical hiring range for this position is $205,900 – $270,300 annually; base pay is based on market location and may vary based on experience. As part of the total rewards, permanent employees may be eligible for a competitive annual bonus program and equity offerings.

Benefits include:

• 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.

Workplace Arrangement

In‑person collaboration is essential to our culture. Work is performed onsite, minimum 4 days per week.

Additional Information

Authorization to work in the U.S. is required for this role. The company is not able to sponsor or take over sponsorship of employment visa at this time.