Data Engineering Leader: AI-First Pipelines at Scale

Apple Inc.; Seattle (WA); On-site; USD 289,500 - 463,100; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Employee stock programs

Educational reimbursement

Job summary

Apple Inc. is looking for a Data Engineering Leader for their Seattle office. This role involves directing a large organization in the design and operation of extensive data pipelines and services that support Apple's Media Services. You'll spearhead the shift towards AI-driven data systems while collaborating across teams to elevate engineering standards.

The ideal candidate will have at least 10 years of engineering experience, exceptional skills in recruitment and talent development, and deep architectural knowledge of large-scale data systems.

Qualifications

• Experience leading large engineering organizations (50+ engineers).
• Track record of building high-performing engineering cultures.
• Deep architectural expertise in large-scale data systems.

Responsibilities

• Lead a large data engineering organization and set technical direction.
• Oversee design and operation of massive-scale data pipelines.
• Drive technology modernization toward an AI-first data architecture.

Skills

Large-scale data systems architecture

Technical leadership

Cross-functional collaboration

Recruitment and talent development

Exceptional communication skills

Education

10+ years of engineering experience

Tools

Spark

Flink

Kafka

Snowflake

Job description

Apple Inc. is looking for a Data Engineering Leader for their Seattle office. This role involves directing a large organization in the design and operation of extensive data pipelines and services that support Apple's Media Services. You'll spearhead the shift towards AI-driven data systems while collaborating across teams to elevate engineering standards.

The ideal candidate will have at least 10 years of engineering experience, exceptional skills in recruitment and talent development, and deep architectural knowledge of large-scale data systems.