Senior Data Engineer, WW Channel Strategy & Operations

A technology company that creates products and revolutionizes entire industries through innovation and environmental efforts.
Data
Staff Software Engineer
In-Person
5,000+ Employees
12+ years of experience
Enterprise SaaS

Description For Senior Data Engineer, WW Channel Strategy & Operations

Imagine what you could do here at Apple, where innovation drives everything we do. As a Senior Data Engineer in the WW Channel Strategy & Operations (CSO) organization, you'll be at the forefront of developing and deploying worldwide sales programs and standard processes to deliver extraordinary customer experiences.

The role involves transforming large, near-real-time data into valuable, actionable datasets while building and scaling the data processing platform that powers analytics and insights for the CSO organization. You'll work closely with data scientists, BI analysts, and business teams to create scalable data pipelines and solutions.

Key responsibilities include developing customer-focused solutions, designing modern distributed data architectures, and leading the deployment of data products across business domains. You'll architect cloud-native data platforms using cutting-edge tools like Databricks, Snowflake, and Kafka, while ensuring robust data governance and quality standards.

The ideal candidate brings 12+ years of industry experience in data engineering, with deep expertise in building large-scale ETL/ELT pipelines. You should have strong programming skills and be familiar with big-data ecosystem technologies like Spark, Flink, and Trino.

At Apple, you'll be part of a team that's revolutionizing entire industries through amazing technology and industry-leading environmental efforts. You'll collaborate with diverse teams worldwide, helping to leave the world better than we found it. Join us in transforming how we deliver value through data in the channel sales ecosystem.

Last updated 21 hours ago

Responsibilities For Senior Data Engineer, WW Channel Strategy & Operations

  • Develop and drive customer-focused solutions based on developing a deep understanding of user requirements
  • Design and implement modern, distributed data architectures aligned with data mesh principles
  • Lead the development and deployment of data products across business domains
  • Architect cloud-native data platforms using tools like Databricks, Snowflake, AWS/GCP/Azure, Kafka
  • Define and enforce data governance, metadata management, quality, lineage, and observability standards
  • Drive automation, CI/CD practices, and Infrastructure-as-Code (IaC) for data solutions

Requirements For Senior Data Engineer, WW Channel Strategy & Operations

Kafka
  • Bachelor's or Master's degree in Computer Science, Information Systems, Software Engineering, Data Science, or related field
  • 12+ years industry experience in data engineering or related technical field
  • 5+ years experience in building and maintaining large-scale ETL/ELT pipelines
  • Experience developing automation to write and read data from relational, no-SQL databases
  • Strong hands-on programming skills
  • Familiarity with big-data ecosystem technologies (Spark, Flink, Trino, Kafka, Iceberg)

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