Senior Software Engineer - Data Governance Solutions, Data Platform

Apple • Cupertino, CA

14h

About The Position

Join Apple and help shape the future of privacy-first data platforms at global
scale. As part of Apple’s Data Platform organization, you will build systems
that protect user data, ensure compliance with regulations like GDPR and CCPA,
and enable teams to responsibly unlock the value of data. In this role, you’ll
work at the intersection of engineering, privacy, and data and AI governance,
designing innovative solutions for data protection, transparency, and
accountability across Apple’s ecosystem. You’ll collaborate with world-class
engineers, security experts, and legal partners to embed privacy by design into
every layer of the platform—helping safeguard the trust of millions of users
while powering cutting-edge products and services. If you’re passionate about
building secure, scalable systems and making a meaningful impact on how data is
governed at one of the world’s most influential companies, this is an
opportunity to do your life’s best work.

DESCRIPTION

This role focuses on building scalable data platform systems that ensure
privacy, compliance, and secure data and AI governance across Apple’s
infrastructure. You will design and develop tools and services that enforce data
protection policies, enable visibility into data usage, and ensure adherence to
global regulations such as GDPR and CCPA. The position plays a critical role in
safeguarding user data while enabling teams to efficiently and responsibly use
data at scale. You will build and maintain distributed systems that support data
classification, lineage tracking, access control, and auditability. This
includes developing policy enforcement mechanisms, monitoring frameworks, and
automation to ensure data is handled in accordance with privacy standards. You
will also partner with cross-functional teams—including legal, security, and
engineering—to translate regulatory requirements into practical, scalable
technical solutions. Success in this role requires strong expertise in
distributed systems, data platforms, and secure software design, along with a
deep understanding of privacy principles and compliance frameworks.

Requirements

• 5+ years of experience building scalable distributed systems or data platforms
• Strong programming skills in at least one of: Java, Scala, Python, or Go
• Hands-on experience with data processing frameworks such as Apache Spark, Flink, Kafka or similar
• Experience designing and implementing secure systems, including authentication, authorization, and data protection mechanisms
• Solid understanding of data modeling, data pipelines, and storage systems (e.g., SQL/NoSQL, data lakes, or warehouses)
• Familiarity with data privacy and compliance requirements, including GDPR and CCPA
• Experience working with cloud platforms (AWS, GCP, or similar) and containerized environments (e.g., Kubernetes)
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience

Nice To Haves

• Experience building data governance platforms, including metadata management, lineage, and data quality frameworks
• Strong understanding of privacy-by-design principles and implementation of compliance controls for regulations such as GDPR and CCPA
• Experience with fine-grained access control systems (e.g., RBAC/ABAC) and policy engines
• Familiarity with data discovery, classification, and masking/tokenization techniques for sensitive data
• Experience building audit, monitoring, and observability systems for large-scale data platforms
• Experience working in hybrid cloud and on-prem environments at scale
• Strong collaboration and communication skills, with experience partnering across engineering, security, and legal teams

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees