As a Senior Data Engineering Manager for the Expert Platform at Apple, you will lead a team focused on building the data foundation for next-generation decision support systems. This role emphasizes the integration of data, intelligence, and design to empower decision-making at scale. You will work alongside engineers, data scientists, and business leaders to create AI-native data architectures that transform vast amounts of data into actionable insights. The position requires a blend of technical expertise and leadership to drive impactful outcomes.

• 15+ years of experience in data engineering or architecture roles.
• 5+ years of experience managing engineering teams at scale.
• Proven experience building large-scale distributed data systems in a production environment.
• Deep understanding of data modeling, ETL/ELT frameworks, and ML data pipelines.
• Strong fluency in SQL, Python, and cloud data ecosystems such as GCP or AWS.
• Familiarity with AI/ML feature engineering, experiment tracking, and data versioning.
• BS/MS in Computer Science, Data Engineering, or a related technical discipline.
• Experience within a consumer tech, retail, or channel organization.

• Lead the team that builds the data foundation for decision support systems.
• Collaborate with engineers, data scientists, and business leaders to design data architectures.
• Translate complex data into decision-ready structures that drive business outcomes.
• Ensure clarity and simplicity in data solutions while maintaining performance.
• Support both operational and strategic decision layers in hybrid data-product environments.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.