Data Governance Engineer

Apple Inc.; Austin (TX); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Discretionary bonuses

Relocation assistance

Education reimbursement

Employee stock plans

Stock purchase plan

Job summary

Apple is seeking a Data Governance Engineer to join the Apple Ads Data Governance team in California. You will partner across engineering, product, privacy and reliability to ensure data access, protection, minimization, retention, and governance across massive data pipelines.

You will design autonomous governance agents for petabyte-scale pipelines, implement MCP integrations, monitor for anomalies, and help scale privacy safe data processing using ML/AI techniques.

Qualifications

• B.S. in Computer Science or related field with 5+ years of software development experience.
• 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.

Responsibilities

• Design autonomous governance agents for petabyte-scale data pipelines (e.g. Kafka, Spark, Hadoop) ensuring compliance and quality across all processing stages
• Build MCP integrations enabling automated policy enforcement, PII detection, and data quality validation across diverse storage and compute environments
• Partner with engineers and PMs to develop intelligent monitoring that detects anomalies, generates compliance reports, and auto-remediates issues
• Create reusable agent templates and workflows that adapt to changing regulations while maintaining performance and reducing manual compliance
• Contribute to distributed agent ecosystem emphasizing reliability through self-healing mechanisms, automated failovers, and dynamic resource allocation for scalability
• Use AI coding agents to accelerate implementation, test coverage, and debugging, validating every result for correctness, privacy, and cost

Skills

Python

Java

Rust

ML/AI applications

Distributed systems

Cloud platforms

Docker

Kubernetes

Terraform

CloudFormation

Git

CI/CD

Prometheus

Grafana

Data pipelines

MLOps

Education

B.S. in Computer Science or related field

Tools

Kafka

Spark

Hadoop

Hive

Iceberg

Snowflake

Databricks

LangChain

LangGraph

REST/GraphQL

RabbitMQ

Vector databases

Job description

Cupertino, California, United States Software and Services

At Apple, we focus deeply on the customer experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, Apple Maps, MLS, and F1. Everything we do is designed for trust, connection, and impact: we respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes — from small app developers to big global brands. Because when advertising is done right, it benefits everyone.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.

Responsibilities

• Design autonomous governance agents for petabyte-scale data pipelines (e.g. Kafka, Spark, Hadoop) ensuring compliance and quality across all processing stages
• Build MCP integrations enabling automated policy enforcement, PII detection, and data quality validation across diverse storage and compute environments
• Partner with engineers and PMs to develop intelligent monitoring that detects anomalies, generates compliance reports, and auto-remediates issues
• Create reusable agent templates and workflows that adapt to changing regulations while maintaining performance and reducing manual compliance
• Contribute to distributed agent ecosystem emphasizing reliability through self-healing mechanisms, automated failovers, and dynamic resource allocation for scalability
• Use AI coding agents to accelerate implementation, test coverage, and debugging, validating every result for correctness, privacy, and cost

Minimum Qualifications

• 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

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

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 $150,400 and $277,600, 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

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.