Principal Software Engineer - Data and AI Platforms
Listed on 2026-07-31
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IT/Tech
Data Engineering, AI Engineer (Applied/Software)
Principal Software Engineer - Data and AI Platforms 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.
The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon’s vertically integrated retail ecosystem, while embedding strong data governance and responsible AI practices from the very beginning.
By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.
Our data and AI platform foundation is built on enterprise data lake architecture, standardized ingestion and integration frameworks, and canonical semantic models spanning product, customer, and supply chain domains.
The platform advances data insights and AI capabilities while maintaining rigorous data governance, observability, and platform reliability. The team delivers self-service data capabilities and shared platform services that enable consistent, trustworthy consumption across analytics, AI/ML, and operational use cases at enterprise scale.
core responsibilitiesAs a Principal Software Engineer, you will own the system design and implementation of lululemon’s enterprise data platform andthesystems that ensure delivery of data products and services that power high-impact business data-driven insights and AIuse cases.
You will ensure data pipelines and services that enable analytics, AI/ML,are reliable, efficient, and governed,andsupportoperational consumption at scale.
You will design and build enterprise-grade data products that serve as the data foundation across multiple product teams and business domains. You will build a context and semantic layer and enterprise data model that enables insights and AI use-cases. You will enable and influence the engineering delivery of data insights and analytics across multiple use-cases.
You will establish the direction and system design for the enterprise data platform, set engineering standards and platform practices adopted across the domain, and serve as the definitive technical authority on the enterprise data platform. You will partner closely with product, business, and technology stakeholders including VP-level leadership, on technical strategy, platform roadmap, and cross-functional initiatives.
This role may require availability outside of standard business hours, including on-call support, based on business needs.
select responsibilities include:- Define vision and approach for enterprise data initiatives and effectively and efficiently deliver the technology solution design
- Demonstrate expert-level functional coding proficiency, writing high-quality production code to solve the complex technical challenges when hands-on expertise is required
- Collaborate closely with architects on enterprise data platform technical architecture and system design, and provide deep technical expertise on implementation approaches, feasibility assessment, and operational implications
- Challenge and improve existing architecture decisions by identifying limitations in current systems and proposing technical…
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