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# Senior Software Engineer, ASE Data Platform

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $175,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Audit Trail, User Authentication, Big Data, Computer Programming, Data Discovery, Data Governance, Data Infrastructure, Data Security, Data Systems, Distributed Systems, Monitoring of Systems, Python (Programming Language), Meta-Data Management, NoSQL, Role-Based Access Control, Scala (Programming Language), Software Engineering, SQL Databases, Trusted Systems, Data Processing, Data Classification, Apache Spark, HybridCloud, Build Management, Containerization, Data Lakes, Kubernetes, Information Technology, Data Lineage, Apache Flink, Integration Frameworks, Apache Kafka, Data Management, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28088684/Senior-Software-Engineer-Ase-Data-Platform-Washington-Seattle-7413

## About the Role

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

## 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.

Responsibilities

Design and build scalable systems that enforce data privacy, governance, and compliance policies across the data platform

Develop and maintain services for data classification, data quality, lineage tracking, and auditability to ensure full visibility into data usage

Implement fine-grained access controls and policy enforcement mechanisms aligned with regulations such as GDPR and CCPA

Build automated frameworks for compliance monitoring, anomaly detection, and reporting

Partner with legal, security, and engineering teams to translate regulatory requirements into scalable technical solutions

Create tools and dashboards that provide transparency into data access, usage, and risk exposure

Optimize data systems to ensure secure, efficient, and compliant data processing at scale

Drive adoption of privacy-by-design principles and governance best practices across engineering teams