ASE, Access Control, Apple, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Automation Engineering, Business Intelligence Software, Cross-Functional, Customer Experience, Data Processing, Data Quality, Data Sets, Distributed Databases, Diversity, Internal Audit, Internet Technology, JavaScript, Maintain Compliance, Metadata, Operations Management, Privacy Regulations, Product Development, Product Management, Python Programming/Scripting Language, Regulations, Regulatory Compliance, Regulatory Requirements, Reporting Dashboards, SQL (Structured Query Language), Scripting (Scripting Languages), Service Level Agreement (SLA), Vehicle Driving, Writing Skills
Imagine what you could do here. At Apple, new ideas become extraordinary products, services, and customer experiences with remarkable speed. The people here don't just build products, they craft the kind of wonder that has revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation running through everything we do, from groundbreaking technology to industry-leading environmental efforts.
The Apple Services Engineering (ASE) Privacy Compliance team is seeking a Continuous Compliance and Automation Engineer to support the transition from manual to automated workflows, controls, audits, and gap remediation. In this role, you will work at the intersection of compliance engineering, data governance, and compliance operations, ensuring data and assets remain discoverable, accurately classified, properly curated, and verifiably compliant with regulatory standards, including GDPR, DMA, and beyond.
Compliance product operations & governance
- Process standardization and regulatory adherence with compliance product operations management
- Replace manual tracking with policy-driven, event-based enforcement to enhance compliance control workflows
- Partner with dedicated compliance engineers to scale data governance and compliance operations
- Identify opportunities for shared controls and monitoring across teams
- Map compliance controls to appropriate monitoring levels
- Implement processes to ensure data quality, completeness, and accuracy across large-scale datasets
Compliance Platform Development
- Enhance compliance operations platforms to centralize and accelerate compliance reporting across ASE
- Develop automated workflows and alerts to proactively identify and surface compliance gaps
Evidence Collection & Audit Support
- Enable cross-functional collaboration to support internal audits and assessments
- Automate evidence collection through scalable pipeline flows
- Build automated validation and reporting pipelines to support audit readiness and compliance evidence generation7+ years of experience in compliance engineering, data governance, GRC, or data platform engineering with strong automation expertise
GDPR / DMA Compliance: Proven experience operationalizing privacy and regulatory requirements into technical controls and monitoring solutions
Data Governance: Strong understanding of data lineage, metadata management, policy enforcement, and control frameworks
Dashboard Development: Hands-on experience building operational compliance and governance dashboards using BI tools or web technologies
Scripting & Automation: Working knowledge of Python and/or JavaScript to develop automation scripts, integrate APIs, manipulate data, and support compliance and governance workflows.
SQL & Columnar Systems: Ability to write production-grade SQL to query large-scale distributed data stores for validation and audit purposes
Workflow Automation: Experience designing and deploying automated compliance workflows at scale
Cross-Team Communication: Ability to drive accountability and remediation ownership across distributed, multi-team organizationsData Catalog Platforms: Familiarity with enterprise catalog tools such as Collibra, DataHub, Unified Catalog, or equivalent
Data Access Governance: Experience with approval workflows, entitlement management, and access control systems
Enterprise Governance Programs: Prior experience supporting large-scale, multi-team governance or compliance programs
AI/ML Governance: Exposure to AI/ML-based data classification or governance automation frameworks at scale
Experience building operational compliance dashboards providing real-time visibility into governance posture, SLA adherence, and remediation progress
Familiarity with data classification frameworks (PII, sensitive, confidential, internal-only) and operationalizing them using ML or rule-based approaches
A
Apple Inc
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About Apple
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Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.
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