Senior Data Platform Engineer: Privacy & Governance

Apple Inc.

Seattle (WA)

On-site

USD 175,000 - 309,000

Full time

2 days ago
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Job summary

Apple Inc. seeks a Senior Software Engineer for the ASE Data Platform in Seattle to advance privacy-first data systems at scale.

You will design and build distributed data services, enforce data governance, and collaborate with legal, security, and product teams to translate regulatory requirements into scalable technical solutions. You will work on confidentiality, data classification, access controls, and auditing across Apple’s data platforms, helping power secure AI workflows while

Qualifications

  • 5+ years building scalable distributed systems or data platforms.
  • Proficient in Java, Scala, Python, or Go.
  • Experience with Spark/Flink/Kafka and cloud/container ecosystems.

Responsibilities

  • Design and build scalable systems enforcing data privacy, governance, and compliance.
  • Develop services for data classification, lineage, and auditability.
  • Implement fine-grained access controls and policy enforcement.
  • Build frameworks for compliance monitoring, anomaly detection, and reporting.
  • Collaborate with legal, security, and engineering to translate requirements into solutions.
  • Create tools and dashboards for data access visibility and risk insight.
  • Optimize data systems for secure, efficient processing at scale.
  • Promote privacy-by-design and governance best practices across teams.

Skills

Distributed systems
Programming: Java/Scala/Python/Go
Privacy/compliance knowledge

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Spark
Flink
Kafka
Kubernetes
AWS/GCP

Job description

Apple Inc. seeks a Senior Software Engineer for the ASE Data Platform in Seattle to advance privacy-first data systems at scale.

You will design and build distributed data services, enforce data governance, and collaborate with legal, security, and product teams to translate regulatory requirements into scalable technical solutions. You will work on confidentiality, data classification, access controls, and auditing across Apple’s data platforms, helping power secure AI workflows while

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