Data Engineering Manager - Apple Ads

AppleNew York City, NY
75d

About The Position

At Apple, we work every day to create products that enrich people's lives. Our Advertising Platforms group enables people around the world to easily access informative and imaginative content on their devices, while helping publishers and developers promote and monetize their work. Our technology and services power advertising in Apple News and in Search Ads on the App Store. These platforms are highly performant, deployed at scale, and set new standards for delivering effective advertising while protecting user privacy. The Apple Ads data team is seeking a hands-on Data Engineering Manager to lead the design of large-scale data, analytics, and reporting systems. In this role, you will serve as both a technical contributor and a people leader, guiding a product-focused data engineering team while driving the development, execution, and continuous improvement of new and existing capabilities. You will directly enable teams of analysts, business users, and data scientists by establishing standards and frameworks that ensure the reliable and efficient production of new data products. You and your team will play a crucial role in building data products that uphold Apple's privacy commitments and transform how advertising works with data. You will collaborate closely with cross-functional teams to deliver actionable data insights that drive business strategies and decisions. As a Data Engineering Manager, you and your engineering team will guide the evolution of our data products to meet the challenges of increasing scale and complexity, ensuring that solutions are both reliable and performant. You will lead your team in delivering high-quality systems while staying actively engaged in technical problem-solving and design.

Requirements

  • Proven track record of leading or mentoring engineers and analysts.
  • Experience designing scalable data systems and products.
  • Ability to build data models for reporting and analytics.
  • Well-versed in traditional ETL/ELT and data generation technologies.
  • Deep understanding of distributed data storage and processing frameworks such as Spark, Kafka, EMR, cloud data warehouses, and Hadoop.
  • Demonstrated ability to communicate technical concepts to a business-focused audience.

Nice To Haves

  • Passion for reinforcing and enriching an engineering team culture that drives engagement and satisfaction.
  • A sense of humor and an eagerness to learn.

Responsibilities

  • Lead the design of large-scale data, analytics, and reporting systems.
  • Serve as both a technical contributor and a people leader.
  • Guide a product-focused data engineering team.
  • Drive the development, execution, and continuous improvement of new and existing capabilities.
  • Establish standards and frameworks for reliable and efficient production of new data products.
  • Collaborate closely with cross-functional teams to deliver actionable data insights.
  • Ensure solutions are reliable and performant.
  • Engage in technical problem-solving and design.
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