Software Engineer (Data Governance)

Apple

4d

About The Position

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, you'll be part of a team responsible for establishing and maintaining robust data governance frameworks, policies, and standards across Apple. You'll 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 Apple's complex business needs. You'll design and develop executive reporting solutions to mitigate data governance risks across the company. Additionally, you'll 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 Apple's diverse data assets.

Requirements

• 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 Superset.
• Experience using SQL, Spark/PySpark, Python, Java, or Scala
• Strong understanding of data privacy regulations (e.g., GDPR, EU AI Act, CCPA) and industry best practices.
• BS 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 Airflow.
• Proficiency in SQL within MPP/distributed databases like Apache Druid, Snowflake and Redshift in large-scale environments.
• Proven data driven decision making skills
• Proficiency in advanced SQL and performance tuning.

Nice To Haves

• Experience in deploying large-scale streaming data pipelines using Kafka and Spark.
• Experience with Snowflake AI features like, Cortex and DocAI, for using machine learning and document processing to improve data workflows and insights.
• Experience in backend API development and management using Java, Scala, or Python.
• Experience with version control systems, CI/CD practices, automated testing, and migration tools for databases and software
• Experience with Kubernetes and Docker
• Experience with reporting tools like Tableau, Apache Superset and QuickSight

Responsibilities

• Designing and building innovative data and analytics solutions to meet Apple's complex business needs.
• Designing and developing executive reporting solutions to mitigate data governance risks across the company.
• Identifying and resolving data discrepancies to create actionable visualizations that inform decision-making.
• Collaborating with cross-functional teams to enable business units and teams to embed data governance principles into operational processes and systems.
• Developing comprehensive governance solutions that ensure the integrity, privacy, and security of Apple's diverse data assets.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree