Apple - Cupertino, CA

posted 3 days ago

Full-time - Senior
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The Apple Data Platform team is seeking a passionate engineer to lead the Data Lakehouse team, which provides a managed Lakehouse solution powered by Apache Iceberg. This role focuses on building and operating a large-scale data platform that supports analytics and machine learning across Apple. The successful candidate will guide team members in technical and professional growth while collaborating with cross-functional teams to enhance the experience for Apple's internal customers.

Responsibilities

  • Build and operate Apple's largest data platform 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, good monitoring, alerting, incident response, and continual investment to reduce tech-debt.
  • Write code, documentation, participate in code reviews, and mentor other engineers.

Requirements

  • 10+ years of experience in design and development of scaling and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive.
  • Proficient in Java or Scala.
  • Proven expertise in designing and developing scalable, reliable APIs.
  • Hands-on approach with a willingness to engage in daily technical work.
  • Skilled at debugging complex issues in large-scale distributed systems.
  • Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions.
  • B.S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent practical experience.

Nice-to-haves

  • Expertise in public cloud platforms like AWS, S3, EKS, IAM.
  • Contributor to open source technologies like Spark or Iceberg.
  • Expertise in building Lakehouse for large scale data platforms.

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Discretionary bonuses or commission payments
  • Relocation assistance
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