Apple - Cupertino, CA

posted 5 months ago

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

About the position

Join Apple's Data Platform team as an Engineering Manager to deliver the best experiences across a multitude of Apple products from Siri, Spotlight, Music, TV, and Safari. The Data Platform team powers data analytics, exploration, and feature engineering to enhance products within the Apple ecosystem. The mission of the Data Platform organization is to provide engineers and data scientists with an innovative, reliable, secure, and easy-to-use infrastructure for ingesting, storing, processing, and interacting with data. This ultimately helps teams that build data-intensive applications to be successful. As an Engineering Manager, you will be responsible for defining and driving the roadmap to build data acceleration solutions for Data Processing and Analytics for our data platform, offering the best infrastructure across our stack at Apple scale. You will collaborate with cross-functional teams of innovative software engineers, product managers, and engineering managers to continually improve our efficiency and performance. We embrace the use of open-source technologies, including Kubernetes, Spark, Flink, Trino, and Iceberg. You will own the planning, execution, and success of technical projects with the ultimate purpose of improving the product experience for Apple customers. In this role, you will define and drive the technical vision, roadmap, and strategy for our platform. You will guide the design and development of new data solutions that accelerate the use of data across Apple. Participation in product design reviews will be essential to ensure efficient and secure use of data in Apple. You will also collaborate with stakeholders and cross-functional leaders in engineering, product, and operations across Apple to ensure the correct adoption of our Data Platform. Leading and mentoring new hires or junior engineers will be a key part of your responsibilities, as well as providing guidance and establishing processes to ensure engineering excellence, efficiency, and operational sustainability of our platform. Fostering a healthy, inclusive, collaborative, and technology-driven culture will be paramount to your success in this role.

Responsibilities

  • Define and drive technical vision, roadmap, and strategy for our platform
  • Guide the design and development of new data solutions that accelerate the use of data across Apple
  • Participate in product design reviews to ensure efficient and secure use of data in Apple
  • Collaborate with stakeholders and cross-functional leaders in engineering, product, and operations across Apple to ensure the correct adoption of our Data Platform
  • Lead and mentor new hires or junior engineers
  • Provide guidance and establish processes to ensure engineering excellence, efficiency, and operational sustainability of our platform
  • Foster a healthy, inclusive, collaborative, and technology-driven culture

Requirements

  • 8+ years of software development experience
  • 3+ years managing engineering teams for Data Processing or similar area
  • Experience with commercial and/or open-source large-scale data processing, storage frameworks, and platforms such as Apache Spark, Apache Flink, etc
  • Experience with programming languages such as Python, Java, Scala, Rust
  • Experience in managing and optimizing data platforms and infrastructure
  • Strong organizational skills and experience working on large multi-functional teams
  • Experience in influencing and driving key product innovations and opportunities across diverse collaborators
  • Passionate about operational excellence through proper automation and engineering processes
  • Strong distributed systems and engineering background
  • Superb problem-solving skills and the ability to thrive in a fast-paced and dynamic environment

Nice-to-haves

  • Working with streaming data processing frameworks such as Apache Flink, Kafka Streams, Spark Streaming
  • Working with data visualization tools such as Apache Superset, Grafana
  • Working with interactive computing platforms such as Jupyter Notebook
  • Developing and optimizing algorithms that run efficiently on resource-constrained platforms

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Opportunity to participate in Apple's discretionary employee stock programs
  • Discretionary bonuses or commission payments
  • Relocation assistance
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