Senior Software Engineer, ASE Data Platform at Apple

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Sep, 26

Salary

0.0

Posted On

16 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, Data Platforms, Secure Software Design, Programming, Data Processing, Data Modeling, Data Pipelines, Storage Systems, Privacy Compliance, Cloud Platforms, Containerized Environments, Data Governance, Access Control, Monitoring, Collaboration, Communication

Industry

Computers and Electronics Manufacturing

Description

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, 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 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

Responsibilities

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 and enable visibility into data usage.