Principal Software Engineer, Data and AI Platforms

Principal Software Engineer, Data and AI Platforms Business Unit: Store Support Centre (SSC) Time Type: Full-time Description & Requirements 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 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 at scale. The 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 responsibilities As a Princi pal Software Engineer, you will own the system design and implementation of lululemon’s enterprise data & AI platform and the systems that ensure delivery of data products and services that power high-impact business data-driven insights and AI use cases. You will ensure data pipelines and services that enable analytics, AI/ML, are reliable, efficient, and governed, and support operational consumption at scale. You will design and build enterprise-grade data and AI infrastructure and reusable components thatenable multiple product teams and business domains to build, publish and consume data products. You will build a context and semantic layer infrastructure t hat 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
- 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
- Be accountable for their reliability, cost efficiency and adoption
- Design and build foundational platform components that other engineering teams build on top of, across areas like ingestion, transformation, orchestration, compute and consumption
- Build platform components for ML/AI applications such as point-in-time correct training data, online and offline feature parity or backfilling features at scale
- Architect robust multi-tenant platform standards by establishing clear cross-layer contracts, tenant isolation, and SLOs to enable autonomous producers and consumers, while driving compute and storage efficiency across workloads
- Lead cross team technical initiatives and architecture reviews, influence platform strategy with senior stakeholders and act as a technical mentor and multiplier for Senior engineers
- Write high-quality production code to solve the complex technical challenges when hands-on e