Software Engineer (Data Governance)

Imagine what you could do here. At Apple new ideas have a way of becoming great products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. The Data Governance team is looking for a passionate self-motivated and hard-working engineer to be part of a diverse fast paced and high-energy team. We are seeking a Software Engineer to build high-quality scalable and resilient distributed systems that power the analytics platform and data pipelines. As a key player in our data initiatives you will be instrumental in defining and delivering robust cloud-based analytical and big data solutions that drive significant business impact.

As a Data Governance Software Engineer youll be part of a team responsible for establishing and maintaining robust data governance frameworks policies and standards across Apple. Youll collaborate with various teams to drive data governance initiatives forward. At the forefront of your role will be designing and building innovative data and analytics solutions to meet Apples complex business needs. Youll design and develop executive reporting solutions to mitigate data governance risks across the company. Additionally youll identify and resolve data discrepancies to create actionable visualizations that inform decision-making. Collaboration with cross-functional teams is crucial to enable business units and teams to embed data governance principles into operational processes and systems. Your ultimate goal is to develop comprehensive governance solutions that ensure the integrity privacy and security of Apples diverse data assets.

Deep experience as a Software Engineer or similar role with experience in data governance data management aggregating data sources metric definition data visualisation with tools like Tableau or Apache using SQL Spark/PySpark Python Java or ScalanStrong understanding of data privacy regulations (e.g. GDPR EU AI Act CCPA) and industry best in Computer Science Mathematics Statistics or equivalent experience.

Proficiency in designing and developing custom ETL pipelines using SQL and scripting languages (Python/Shell) and workflow management tools like in SQL within MPP/distributed databases like Apache Druid Snowflake and Redshift in large-scale data driven decision making skillsnExperience in deploying large-scale streaming data pipelines using Kafka and in advanced SQL and performance with Snowflake AI features like Cortex and DocAI for using machine learning and document processing to improve data workflows and in backend API development and management using Java Scala or with version control systems CI/CD practices automated testing and migration tools for databases and softwarenExperience with Kubernetes and DockernExperience with reporting tools like Tableau Apache Superset and QuickSight