Apple
Data Governance Engineer - Data Governance Engineering
Apple, Cupertino, California, United States, 95014
Weekly Hours:
40
Role Number:
200622493-0836
Summary
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
Basic 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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
40
Role Number:
200622493-0836
Summary
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
Basic 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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .