What are the responsibilities and job description for the Senior Software Engineer, ASE Data Platform position at Apple, Inc.?
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.
Minimum Qualifications
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, Google Cloud Platform, 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
Preferred Qualifications
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
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.
Minimum Qualifications
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, Google Cloud Platform, 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
Preferred Qualifications
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