Sr. / Staff Software Engineer, Data Lakehouse, Apple Data Platform
Apple Seattle, Washington, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
Lead the data lakehouse team by guiding members in technical and professional growth while managing the platform's infrastructure. Collaborate with cross-functional teams to plan and execute technical projects that enhance the data experience for internal Apple customers.
What they look for
Requirements
Requires 10+ years of experience in designing and operating distributed systems with proficiency in Java or Scala and technologies like Spark, Kafka, and Iceberg. A bachelor's, master's, or Ph.D. in Computer Science or a related field is required.
Full description
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.
Description
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.
Minimum Qualifications
10+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, and Iceberg, along with resource management systems like Kubernetes or AWS EKS. Proficient in Java or Scala. Proficient in Apache Iceberg and Iceberg Rest Catalog specification Proven expertise in designing and developing scalable, reliable APIs. A hands-on approach with a willingness to engage in daily technical work. Contributions to Open-Source projects like Apache Iceberg are a plus. Skilled at debugging complex issues in large-scale distributed systems. Driven by a passion for building reliable, maintainable, and user-friendly products and services. Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions. Bachelor’s, Master’s, or Ph.D. in Computer Science or a related technical discipline.
Preferred Qualifications
Expertise in public cloud platform’s like AWS, S3, EKS, IAM. Contributor to open source technologies like Spark or Iceberg. Expertise in building Lakehouse for large scale data platforms. Experience with development of Iceberg Rest Catalogs like Apache Polaris, Graviton etc.
