Senior Data Lakehouse Engineer — Exabyte-Scale Platform

Apple Inc.

Seattle (WA)

On-site

USD 175,000 - 309,000

Full time

39 hours ago
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Benefits offered by this job

Comprehensive medical and dental cover
Retirement benefits
Discounted products & free services
Educational expense reimbursement

Job summary

Apple Inc. is seeking a Sr. / Staff Software Engineer to lead the Data Lakehouse within the Data Platform.

You will own the exabyte-scale data platform and drive cross-functional collaboration across analytics, ML, and product teams. You’ll mentor engineers, design scalable APIs, and partner with security, reliability, and cloud teams to deliver high-quality data services for internal Apple customers. This role demands deep experience with Spark, Iceberg, and cloud ecosystems, plus a passion for

Qualifications

  • 10+ years designing and operating scalable distributed systems.
  • Proficient in Java or Scala and with Iceberg technology.
  • Experience with Spark, Kafka, Flink and Kubernetes/AWS EKS.
  • Strong API design, debugging, and cross-team collaboration.

Responsibilities

  • Build and operate Apple’s largest data platform supporting exabyte scale.
  • Scale and operationalize the largest multi-tenant, highly secure Data Lakehouse.
  • Ensure data platform offers reliable high quality data with SLAs, monitoring, and incident response.
  • Write code, documentation, participate in code reviews, and mentor other engineers.

Skills

Distributed systems
Apache Spark
Kafka
Flink
Iceberg
Iceberg Rest Catalog
Kubernetes / AWS EKS
Java / Scala
API design
Open source contribution

Education

CS degree (BSc/MSc/PhD)

Tools

Iceberg Rest Catalog

Job description

Apple Inc. is seeking a Sr. / Staff Software Engineer to lead the Data Lakehouse within the Data Platform.

You will own the exabyte-scale data platform and drive cross-functional collaboration across analytics, ML, and product teams. You’ll mentor engineers, design scalable APIs, and partner with security, reliability, and cloud teams to deliver high-quality data services for internal Apple customers. This role demands deep experience with Spark, Iceberg, and cloud ecosystems, plus a passion for

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