Be inspired every day. We’re perfectionists. Idealists. Inventors. A job at Apple is one that requires a lot of you, but it’s also one that rewards forward-thinking and hard work. None of us here at Apple would have it any other way!

In this role, you’ll be a key leader in the design, development, and implementation of data engineering solutions within the Apple Channel Sales team. You’ll oversee a team responsible for building and optimizing scalable data pipelines that support critical decision-making, sales performance, and business planning for the U.S. Channel Sales team. As the Data Engineering Manager, you will work hands-on to architect and maintain robust data infrastructure, ensuring that data is easily accessible, reliable, and actionable.

You will collaborate closely with cross-functional teams, including data scientists, analysts, and product managers, to ensure that data solutions align with business needs and drive operational efficiency. Additionally, you’ll lead efforts to enhance data quality, governance, and security, while continuously driving innovation in data processing and automation. Your leadership will be essential in guiding the team towards creating scalable data solutions that support the organization’s growth and improve overall data capabilities.

We view inclusion and diversity as critical for innovation. That’s because we lead ambitious projects, the ones that benefit from different perspectives to drive innovation.

#NAME?

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or equivalent practical experience.8+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines.2+ years of experience directly managing data engineering teams.Proficiency in SQL and Python.Experience with ETL tools and frameworks such as Apache Spark, Airflow, or similar.Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Azure) and data warehousing solutions (e.g., Redshift, Snowflake, BigQuery).Proven experience with databases (both relational and NoSQL) and data modeling.Experience solving large-scale data-related issues, implementing new governance processes, managing data integration / ETL challenges.Experience in managing projects related to data governance or operations, including planning, execution, and monitoring.Understanding of data security and privacy best practices.Excellent problem-solving and communication skills.