Engineering Leader, Data Engineering

What you'll do

• Set technical direction, structure the organization, and build a high-performing engineering culture.
• Oversee data pipelines and services for commerce, payments, and content, including modernization and large-scale migrations.
• Partner across Apple, recruit and develop leaders, and communicate strategy and progress to senior stakeholders.

What they ask for

• 10+ years of engineering experience, including 5+ years leading large engineering organizations (50+ engineers) with multiple layers of management.
• Deep architectural expertise in large-scale data systems and demonstrated success executing large-scale modernization or platform migrations.
• Experience leading geographically distributed teams across multiple time zones.
• Strong communication and cross-functional collaboration skills, including influencing without direct authority.

Nice to have

• 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 for data engineering, consumer-internet-scale platforms, relevant business domains, privacy-by-default design, or cross-organizational data standards.

Pay

$295,600 and $472,200 (base salary range)

Tools

Spark, Flink, Kafka, Apache Iceberg, Snowflake

AI focus

Lead a shift to an AI-first data architecture that produces ML-ready data for machine learning applications at scale; preferred experience includes feature pipelines, model serving infrastructure, or ML platform development.