The Data Governance Engineer role at Apple Ads focuses on developing privacy-centric advertising solutions using advanced data engineering and machine learning technologies. The team is dedicated to implementing critical privacy safeguards and data management controls while enhancing user experiences. This position requires collaboration with engineering, product, privacy, and reliability organizations to ensure effective data governance. The role is essential in delivering on Apple's privacy commitments to customers and driving value for developers and partners.

• B.S. in Computer Science or related field with 5+ years of software development experience, including exposure to ML/AI applications.
• Production experience in Python, Java, Rust or similar languages, with familiarity in data processing and API development.
• Understanding of distributed systems and cloud platforms, including CAP theorem tradeoffs and basic ML model deployment.
• Experience with containerization (Docker), orchestration (Kubernetes), and infrastructure as code (e.g. Terraform, CloudFormation).
• Proficiency in CI/CD pipelines and DevOps practices using Git, GitHub Actions/Jenkins/GitLab CI, with experience in automated testing and deployment workflows.
• Familiarity with observability and monitoring tools (e.g. Prometheus, Grafana, DataDog) and logging frameworks for production systems.
• Basic knowledge of machine learning concepts and MLOps, including data pipelines, model versioning, and experiment tracking tools.
• Expertise in open source data analytics and governance platforms: architecture, deployment, and performance tuning of Datahub, Apache Spark, Flink, Hive, Hadoop/HDFS, and Iceberg Rest Catalog.
• Experience building multi-agent AI systems: proficiency with LangChain, LangGraph, or AutoGen frameworks; strong prompt engineering and LLM integration skills.
• Skills in integration and communication layers: implement MCP servers and APIs using Python, REST/GraphQL, and message queuing (e.g. Kafka, RabbitMQ).
• Experience with modern data platforms including Snowflake, Databricks, and vector databases.
• MLOps and observability capabilities: deploy containerized AI systems with comprehensive monitoring.

• Collaborate with cross-functional teams to implement privacy safeguards and data management controls.
• Deliver on data access, use, protection, minimization, retention, and other data governance execution areas.
• Develop data and privacy management products to enhance user experiences.
• Support Apple's privacy commitments to customers through effective data governance.
• Design event-driven architectures for autonomous workflows in multi-agent AI systems.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.