Senior Data Engineering Manager, WW Channel Sales at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Architecture, Distributed Data Systems, Data Modeling, ETL/ELT Frameworks, ML Data Pipelines, SQL, Python, Cloud Data Ecosystems, AI/ML Feature Engineering, Experiment Tracking, Data Versioning, Cross-Functional Communication, User Empathy, Design-Minded Approach

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish! Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around the world. The WW Channel Sales organization at Apple is redefining how data, intelligence, and design come together to empower decision-making at scale. This role is ideal for a data engineering leader who combines deep technical expertise with a passion for clarity, craftsmanship, and impact at scale. DESCRIPTION As a Senior Data Engineering Manager for the Expert Platform, you will lead the team that builds the data foundation behind Apple’s next-generation decision support systems — powering predictive coverage, experimentation, LLM based insights and intelligence. You’ll collaborate with world-class engineers, data scientists, and business leaders to design AI-native data architectures that turn millions of signals into meaningful, human-centric decisions. MINIMUM QUALIFICATIONS 15+ years experience in data engineering or architecture roles, with 5+ years experience managing engineering teams at scale. Proven experience building large-scale distributed data systems (Spark, Databricks, Kafka, Airflow, Snowflake, etc.) 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 (GCP/AWS). Track record of translating complex data into decision-ready structures that power business outcomes. Familiarity with AI/ML feature engineering, experiment tracking, and data versioning. Excellent cross-functional communication skills; proven ability to partner with product, engineering, and business leaders to prioritize and deliver with clarity. A design-minded approach — valuing simplicity, trust, and user empathy as much as performance. BS/MS in Computer Science, Data Engineering, or related technical discipline. PREFERRED QUALIFICATIONS Experience within a consumer tech, retail, or channel organization. Exposure to decision intelligence, causal inference, or applied machine learning. Familiarity with Apple’s data privacy and data sharing standards. Experience working in hybrid data-product environments, supporting both operational and strategic decision layers. Advanced degrees or certifications in data architecture, AI systems, or cloud platforms are a plus.

Responsibilities

Lead the team that builds the data foundation behind Apple’s next-generation decision support systems. Collaborate with engineers, data scientists, and business leaders to design AI-native data architectures for meaningful decision-making.