About The Position
The Apple Store Online team is responsible for Apple’s largest store, aiming to deliver a magical, personal digital experience where customers can shop, buy, and learn everything Apple. This role is for a Senior Data Engineer within the Retail Business Intelligence team, focusing on serving as a data subject matter expert for high-impact capital projects. The engineer will partner with cross-functional teams to define how the success of major business initiatives is measured, tracked, and understood, ensuring data accuracy and actionability to drive decisions at scale. The position plays a substantial role in defining how data is structured, organized, and evaluated to measure the performance and impact of capital projects across Apple Store Online. A key success factor is the ability to engage early in project lifecycles, establish data requirements and measurement frameworks, and ensure analytical deliverables support go-live and beyond.
Requirements
- Expert SQL skills with 7+ years of ETL and query optimization experience
- Extensive Semantic Layer (ESL) development experience in relational database and data lake environments
- Extensive experience performing data validation against complex, disparate systems
- Proficiency in PHP and/or Python for scripting or data manipulation
- Experience creating or modifying HTML/CSS/JS-based applications or front-end tools
- Experience deploying into cloud environments (Alibaba Cloud, Tencent Cloud, AWS, or equivalent)
- Professional proficiency in both Mandarin and English, written and verbal
- Bachelor's degree in Information Technology, Mathematics, Computer Science, or equivalent experience
- Master's degree in a relevant field with 7+ years of experience directly related to role requirements
- Strong business mindset with the ability to translate business needs into technical requirements, produce IT-friendly business requirements documentation, and communicate complex concepts clearly to senior leaders
- Structured problem solver who can break down ambiguous challenges, lead decisively under uncertainty, and provide goal-oriented direction across projects, programs, and processes
- Proven track record of contributing to and influencing deliverables within large global cross-functional teams, with domain experience in e-commerce, Retail, Finance, Operations, or Contact Center systems and datasets
- Proactive technologist who independently picks up new skills and drives innovation — including familiarity with modern AI practices such as embedding vectors, knowledge graphs, and agentic workflows integrated into data-driven pipelines
- Experience supporting data and analytics needs across complex, multi-track capital projects including requirements definition, measurement framework design, and post-launch performance tracking
Nice To Haves
- Experience with modern AI practices such as embedding vectors, knowledge graphs, and agentic workflows integrated into data-driven pipelines
Responsibilities
- Act as the primary data SME across a portfolio of capital projects, ensuring that data strategy is established early and maintained throughout the project lifecycle
- Partner with project managers, business stakeholders, and IT teams to translate initiative goals into clear data requirements and measurable success criteria
- Design and build reporting layers and certified datasets that capture end-to-end performance of business initiatives — from launch through steady-state operation
- Conduct ad hoc analyses and data investigations to surface insights, validate outcomes, and support executive decision-making
- Lead requirements gathering, gap reviews, data validation, and UAT across projects
- Provide consultation and training to business partners on how to interpret and leverage data assets tied to their initiatives
- Lead regular design and code reviews and perform debugging and coding to resolve issues
- Own the end-to-end data engineering lifecycle for analytics in retail initiatives - from requirements gathering and data modeling through pipeline development, UAT, and production deployment - ensuring on-time, high-quality delivery across global cross-functional teams
- Design and maintain scalable, certified data assets across relational and data lake environments, establishing the semantic layer standards that power consistent reporting and decision-making across the organization
- Serve as a technical subject matter expert on multi-functional projects, partnering with IT, finance, operations, and retail stakeholders to translate complex business questions into rigorous, well-documented data solutions
- Lead design and code reviews, define engineering best practices, and provide mentorship and technical guidance to ensure team-wide consistency, performance, and maintainability of data pipelines and analytical tools
- Drive data quality and integrity by developing and enforcing validation frameworks against complex, disparate source systems, proactively identifying and resolving data issues before they surface in business-facing reporting
- Champion data literacy across the organization by delivering consultation, training, and documentation that enable business partners to independently leverage analytical tools and certified datasets with confidence
Benefits
- Industry-leading environmental efforts
- Inclusion is a shared responsibility
- Foster a culture where everyone belongs and is inspired to do their best work
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
