Engineering Leader, Data Engineering

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$295,600–$472,200 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $384k
$119k most similar roles pay here $510k

This role pays more than 98% of similar roles. Most pay $157,150–$223,750 — the shaded band above. At the midpoint, this role pays about $384k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Engineering Leader, Data Engineering

Engineering Leader, Data Engineering will lead a large organization within the Media Services team responsible for designing, developing, and operating massive-scale data pipelines and services across commerce, payments, and content domains. The role involves overseeing technical direction, defining team structures, and driving technology modernization programs to transition traditional data pipelines into an AI-first architecture that produces ML-ready data. This leader will manage large teams of engineers, oversee platform migrations, and collaborate with cross-functional partners to support features like search, personalization, and internal reporting. The ideal candidate possesses expertise in Spark, Flink, Kafka, Apache Iceberg, and Snowflake, alongside experience in machine learning applications and feature pipelines. The work focuses on solving complex data infrastructure challenges while ensuring high standards for reliability, scalability, and privacy within the media and digital content space.

What you'll do

  • Lead and structure a large data engineering organization while fostering a culture of ownership and technical excellence.
  • Oversee the design, development, and operation of massive-scale data pipelines for commerce, payments, and content domains.
  • Drive the transition from traditional data pipelines to an AI-first architecture to support machine learning applications.
  • Execute large-scale technology modernization programs and migrations with minimal disruption to downstream consumers.
  • Recruit, develop, and mentor a high-performing team of engineers and future leaders.
  • Establish and enforce engineering standards for data quality, reliability, scalability, and privacy.
  • Communicate data strategy and program progress to senior leadership and executive stakeholders.

What we're looking for

  • Must have 10+ years of engineering experience.
  • Must have 5+ years of experience leading large engineering organizations of 50+ engineers with multiple management layers.
  • Proven track record of recruiting, developing leadership talent, and building high-performing engineering cultures at scale.
  • Deep architectural expertise in large-scale data systems and software engineering best practices.
  • Demonstrated success executing large-scale technology modernization or platform migration programs.
  • Experience leading geographically distributed engineering teams across multiple time zones.
  • Ability to communicate complex concepts clearly to senior leadership and influence outcomes across diverse organizations without direct authority.
  • Preferred experience with Spark, Flink, Kafka, Apache Iceberg, Snowflake, and AI/ML data infrastructure.

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