Data Governance Engineer - Data Governance Engineering at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Machine Learning, Python, API Development, Distributed Systems, Cloud Platforms, Containerization, Kubernetes, Infrastructure as Code, CI/CD Pipelines, DevOps Practices, Observability, Monitoring Tools, MLOps, Data Analytics, Event-Driven Architectures

Industry

Computers and Electronics Manufacturing

Description

At Apple, we work every day to create products that enrich people’s lives. The Apple Ads group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. The Apple Ads Data Governance team develops privacy-centric advertising solutions that leverage advanced data engineering and machine learning technologies at massive scale. The Data Governance Engineer role involves collaborating with cross-functional teams to implement critical privacy safeguards, and data management controls. DESCRIPTION At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. In the Data Governance team, we work at the cutting edge of data engineering, machine learning, and privacy at Apple's scale. We are constantly developing data and privacy management products to provide amazing user experiences and to drive value for developers and partners. The team is seeking a Data Governance Engineer to support our data governance objectives. You will play a crucial role in delivering on Apple's privacy commitments to our customers. You will partner across our engineering, product, privacy and reliability organizations to deliver on data access, use, protection, minimization, retention, and other data governance execution areas. MINIMUM QUALIFICATIONS B.S. in Computer Science or related field with 4+ years of software development experience, including exposure to ML/AI applications Production experience in Python or similar languages, with familiarity in data processing and API development Understanding of distributed systems and cloud platforms, including 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 Intermediate knowledge of machine learning concepts and MLOps, including data pipelines, model versioning, and experiment tracking tools PREFERRED QUALIFICATIONS 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; ability to design event-driven architectures for autonomous workflows 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; track experiments using MLFlow or Weights & Biases; implement distributed tracing for agent workflows and model performance

Responsibilities

The Data Governance Engineer will collaborate with cross-functional teams to implement critical privacy safeguards and data management controls. This role is crucial in delivering on Apple's privacy commitments to customers.