Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform
Job Summary
Job Description
The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. The mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction. This role is within the Data Lakehouse team, which provides a managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom services for data at scale. The platform supports analytical and machine learning workloads across key products and organizations. Engineers will lead the data lakehouse team, guide team members, and collaborate with cross-functional teams to enhance the experience for internal customers. Responsibilities include building and operating Apple's largest data platform supporting exabyte scale, scaling and operationalizing a custom multi-tenant, secure, privacy-enabled Data Lakehouse, ensuring reliable data with consistent SLAs, good monitoring, alerting, incident response, and reducing tech-debt. This includes writing code, documentation, participating in code reviews, and mentoring.
Must have:
- Lead data lakehouse team
- Collaborate with cross-functional teams
- Build and operate exabyte-scale data platform
- Scale and operationalize Data Lakehouse
- Ensure data quality and SLAs
- Reduce tech-debt
- Write code and documentation
- Mentor other engineers
Good to have:
- Experience with Apache Iceberg
- Experience with Iceberg REST Catalog
- Experience with data-intensive applications
- Strong communication skills
- Proven data infrastructure/platform design
- Strong business acumen
- Self-starter
- Comfortable with ambiguity
- Work in a fast-paced dynamic environment
5 skills required
Job Details
The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. This role sits within the Data Lakehouse team, a part of the Apple Data Platform. The team provides a fully managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom-built services to manage data at scale. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We continuously innovate to meet evolving customer needs and market trends. We seek engineers passionate about building world-class infrastructure products. In this role, you will lead the data lakehouse team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple’s internal customers.
The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Responsibilities will include * Build and operate Apple’s largest data plarform supporting exabyte scale. * Scale and operationalize the largest custom build multi-tenant, highly secure, privacy enabled Data Lakehouse. * Ensure data platform offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt • Write code, documentation, participate in code reviews, and mentor other engineers
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