Platform Engineering Lead - Culver City

Apple | Culver City

Date listed

1 week ago

Employment Type

Full time



Total Funding

$6.2 billion

Glassdoor Rating

4/5 (15000 reviews)

Imagine working at Apple to create services that enrich people’s lives. Bring passion and dedication and there’s no telling what we could accomplish together! The AMP Data Platforms make it possible for empowering our data scientists and analytics with world-class tooling to scale and increase their productivity. Our data scientists is responsible for generating critical metrics for all Apple Media Products such as Appstore, Arcade, Fitness+, Apple Music, News+, TV+, etc. We are looking for a results-oriented and engineering leader who enjoys working in an agile environment. You will have opportunities to lead the architecture, design, development, delivery and support of key features and integrations that our data scientists and analysts use every day.

We're seeking a Platform Engineering lead with advanced hands-on technical skills to drive our data platform. Having extensive knowledge and understanding of supporting mission critical and a large-scale distributed architecture is a core competency of this individual. Working with Product Managers, Data Scientists and partners to define product roadmaps and build resilient systems that can scale. Provide technical leadership and mentorship to engineers and data scientists throughout the organization.

Skills & requirements

  • Proficient in large scale data platform, data processing system such as Hadoop and Apache Spark
  • Proficient with Python/SQL/Java and debugging skills
  • Excellent analytical and problem-solving skills
  • Excel in cross-functional collaboration, communication and relationship building

Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field (Masters preferred)
  • Experience in optimizing Spark jobs
  • Experience with data pipeline platform / Apache airflow / Kubernetes
  • Experience in building tools, scripts, automation
  • Outstanding written and verbal communication skills
  • Strong attention to detail

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