Senior Compliance and Automation Engineer
Apple
Software Engineering, Compliance / Regulatory
San Francisco, CA, USA
USD 181,100-318,400 / year + Equity
Posted on Jun 4, 2026
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 generation
- 7+ 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 organizations
- Data 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