Principal Software Engineer, Apple Data Platform

The Apple Data Platform team 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. \\n\\nOur team provides a fully managed Lakehouse solution powered by Apache Iceberg and the Iceberg REST Catalog, interactive querying using Trino and Druid, and data processing using Apache Spark & Flink. 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 invest in open source technologies, and continuously innovate to meet evolving customer needs and market trends. \\n\\nWe are seeking Principal-level engineers passionate about building world-class infrastructure products. In this role, you will serve as a technical leader on the Data Platform 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.\\n\\n

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. They will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. \n

12+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive, along with resource management systems like Apache Mesos and Kubernetes.\nProficient in Java or Scala.\nProven expertise in designing and developing scalable, reliable APIs.\nA hands-on approach with a willingness to engage in daily technical work.\nContributions to Open-Source projects like Apache Iceberg are a plus.\nSkilled at debugging complex issues in large-scale distributed systems.\nDriven by a passion for building reliable, maintainable, and user-friendly products and services.\nExceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions.\nBachelor's, Master's, or Ph.D. in Computer Science or a related technical discipline.\n

Contributor to open source technologies like Spark or Iceberg.\nExpertise in building Lakehouse for large scale data platforms.\nExpertise in public cloud platform's like AWS or Google Cloud Platform.\n