Job Details

Weekly Hours: 40

Role Number: 200652474-3337

Summary

People at Apple don't just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it.

The Analytics Platforms & Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more.

The APX Bedrock team is seeking a Senior Data Platform Architect to lead the design and evolution of next-generation data platform capabilities. In this role, you will architect scalable solutions that enable data engineers across Apple to build applications with speed, confidence, and quality. You'll be at the forefront of integrating AI-powered workflows into data engineering practices while ensuring enterprise-grade reliability and performance.

Description

As a Senior Data Platform Architect on the APX Bedrock team, you will have significant responsibility and influence in shaping the future of data engineering at Apple. This is a senior technical leadership position requiring deep expertise in data platform architecture, advanced data processing systems, and modern AI-enhanced workflows.

Key responsibilities include:

Architect and design scalable data platform solutions that serve enterprise-wide analytics needs
Lead technical strategy for data orchestration, quality monitoring, and metadata management systems
Drive innovation in AI-powered data engineering workflows and automation
Define technical standards and best practices for data platform development
Collaborate with cross-functional teams to deliver high-impact platform capabilities
Mentor engineering teams and influence technical direction across the organization
Ensure operational excellence and reliability of critical data infrastructure

Minimum Qualifications

• Master's Degree in Computer Science, Engineering, or equivalent professional experience

• 8+ years of hands-on experience architecting and building large-scale data platforms using technologies like Spark, Flink, and modern orchestration frameworks

• Expert-level programming skills in Java, Scala, or Go, with strong Python capabilities

• Proven experience designing and operating distributed data systems (Hadoop, HDFS, Kafka, Airflow)

• Deep understanding of data processing patterns, streaming architectures, and real-time analytics

• Experience integrating AI/ML capabilities into data engineering workflows

• Track record of delivering enterprise-grade platforms with high availability and performance requirements

Preferred Qualifications

• Experience with cloud-native data platforms and containerization technologies (Kubernetes)

• Strong background in data governance, lineage, and quality management systems

• Experience with AI-powered development tools and workflow automation

• Proven ability to lead technical teams and drive architectural decisions

• Experience with modern data stack technologies and emerging industry trends

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .