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Senior Data Engineering Manager, Core Data & Intelligence

Apple6,488 open roles

Where
Shanghai, China
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Your applicationOpen nowSenior Data Engineering Manager, Core Data & IntelligenceApple · Shanghai, China

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Apple postings stay open a median of 43 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted today

Apple median: 43 days open

The posting

Summary

Imagine what you could do here. At Apple, new ideas become extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish.

The Core Data & Intelligence organization builds the data, models and services that accelerate the growth of Apple's services. We are looking for a Senior Data Engineering Manager based in Shanghai, China to lead data engineering efforts spanning Apple Services Engineering. You will build and lead a high-performing team of data engineers, set the technical direction for large-scale data foundations and platforms, and partner with cross-functional leaders to turn business needs into scalable, privacy-first data solutions.

Description

As a Senior Data Engineering Manager within Apple Services Engineering, you will direct a team responsible for the design, development and operation of massive-scale data pipelines and services across multiple lines of business. Your team's work will support customer-facing features, internal reporting and analytics, and external partner integrations, all held to Apple's standards for reliability, quality and privacy.

You will work across Apple's engineering and business groups, influence platform strategy at the executive level, and build a culture where engineers grow their expertise and impact. This is a hands-on leadership role that demands both deep technical judgment and the ability to recruit, develop and retain top engineering talent in Shanghai.

Responsibilities

Lead a data engineering team based in Shanghai. Set technical direction and foster a culture of ownership, craftsmanship and continuous improvement. Oversee the design, development and operation of large-scale data pipelines and services for multiple lines of business. Serve as a visible technical contributor, going deep into architecture, data models and thorny technical problems alongside the team rather than directing from a distance. Partner with engineering, product and data science teams to align data engineering capabilities with the needs of customer-facing features, internal reporting and external partner integrations. Translate business needs into data capabilities and roadmaps. Recruit, develop and retain engineering talent within the Shanghai team. Establish and uphold engineering standards for data quality, reliability, scalability and privacy across the team. Guide the team in building LLM-powered applications and intelligent agents at scale that automate routine work and give stakeholders new capabilities. Communicate data strategy, program progress and cross-team dependencies clearly to senior leadership and stakeholders.

Minimum Qualifications

10+ years of engineering experience, including 3+ years leading data or software engineering teams. Track record of recruiting, developing leaders and building high-performing engineering cultures at scale. Deep architectural expertise in large-scale data systems, with strong instincts for technical excellence and software engineering best practices. Ability to move between hands-on technical detail and high-level strategy with equal fluency. Experience planning and executing large-scale platform modernization or migration programs. Solid grasp of the data lifecycle, including lineage, governance, privacy, retention and anonymity. Strong communication skills, with the ability to simplify complex topics and engage stakeholders at all levels, including senior engineering leadership and executive sponsors. Strong cross-functional collaboration skills, with a track record of influencing outcomes across diverse engineering organizations without direct authority. Bachelor's degree in Computer Science or Engineering, or equivalent work experience.

Preferred Qualifications

Hands-on experience with large-scale data processing and streaming technologies such as Spark, Flink, Kafka, Apache Iceberg and Snowflake. Background in AI and machine learning applications within data engineering contexts, such as feature pipelines, model serving infrastructure, or ML platform development. Experience operating data platforms at consumer-internet scale, balancing data quality, privacy and user impact. Background in Commerce, Payments, digital content or Subscriptions domains. Familiarity with Apple's privacy principles or experience designing privacy-by-default data systems. History of driving cross-organizational data platform standards or governance programs adopted across multiple engineering teams. Experience hiring and building engineering teams in the China market. Experience leading geographically distributed teams across multiple time zones. Master's degree or PhD in Computer Science, Engineering or a related field.

EEO Statement

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

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