Technology Director, Enterprise Data Platform

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

Benefits offered by this job

Extended health and dental benefits

Paid time off

Savings and retirement plan matching

Parenthood top-up

Development course offerings

Job summary

Lululemon Athletica in Seattle is looking for a Technology Director for their Enterprise Data Platform. The successful candidate will lead the engineering of robust data platform capabilities including data lakes and infrastructure, while ensuring scalability and reliability.

With a strong background in data engineering and a focus on team leadership, you will collaborate cross-functionally to support business outcomes and enhance platform usability. A competitive compensation package is offered.

Qualifications

• 8–10+ years of experience engineering data platforms and services.
• 5+ years leading engineering teams focused on data engineering.
• Experience in building enterprise-grade data infrastructure.

Responsibilities

• Deliver and operate enterprise data platform capabilities.
• Lead development of robust data integration capabilities.
• Manage operational execution and delivery.

Skills

Data engineering

Cloud data platforms

Distributed processing technologies

Collaboration skills

Education

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

Master’s degree beneficial

Job description

Technology Director, Enterprise Data Platform

Core Responsibilities

• Deliver and operate enterprise data platform capabilities
• Own the execution, delivery, and operation of core enterprise data platforms, including data lakes, warehouses, ingestion, and transformation
• Ensure platform reliability, scalability, performance, and security to meet enterprise standards and SLAs
• Drive adoption of self-service data capabilities that enable internal data consumers
• Enable data integration and accessibility
• Lead development of robust data integration capabilities including batch and real‑time pipelines (ETL/ELT, streaming, APIs, CDC)
• Provide standardized, reusable frameworks to simplify data ingestion, processing, and access across the organization
• Enable timely and high‑quality data delivery for business‑critical use cases; enable teams to discover, aggregate and consume data for analytics and AI use‑cases
• Drive data governance, quality, and compliance
• Partner with data governance and security teams to ensure adherence to enterprise data policies, standards, and regulatory requirements for data access
• Embed data quality, lineage, and observability practices within platform capabilities
• Promote trusted, well‑governed data assets across the organization
• Lead adoption of modern data engineering tools, technologies, and best practices (e.g., cloud‑native architectures, distributed processing frameworks)
• Improve operational efficiency through automation, monitoring, and optimization of platform services and data ops
• Continuously enhance developer experience and platform usability for your engineering teams, including the use of AI across the software development lifecycle
• Manage operational execution and delivery
• Translate sub‑functional strategy into actionable roadmaps and execution plans
• Deliver against defined objectives for quality, timeliness, and platform performance
• Manage budgets, resources, and priorities to ensure efficient and effective delivery
• Partner cross‑functionally to support business outcomes
• Collaborate with data product, analytics, AI, and business stakeholders to align platform capabilities with evolving needs
• Support delivery teams with scalable and secure data access patterns and tooling
• Ensure platform readiness to support new use cases and growing data volumes
• Lead and develop team members
• Build and lead a high‑performing data platform engineering organization
• Foster a culture of accountability, collaboration, continuous improvement, and technical excellence
• Ensure strong hiring, onboarding, development, and succession planning practices aligned with the company’s diversity and inclusion commitments

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or related quantitative field, or equivalent experience; 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 with data engineering and data platform focus
• 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

Must Haves

• 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 the space for others to do the same
• Lead with courage, knowing the possibility of greatness is bigger 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, aka doesn’t take yourself too seriously

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 $205,900 – $270,300 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 and equity offerings, subject to program eligibility requirements

• Extended health and dental benefits, and mental health plans
• Paid time off
• Savings and retirement plan matching
• 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

Authorization and Workplace Arrangement

Authorization to work in the U.S. is required for this role. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment visa at this time for this role

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

Equal Employment Opportunity

Lululemon is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request. This Equal Employment Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. While management is primarily responsible for seeing that Lululemon equal employment opportunity policies are implemented, you share in the responsibility for assuring that, by your personal actions, the policies are effective.