Senior Compliance and Automation Engineer

Apple • San Francisco, CA

9h

About The Position

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.

Requirements

• 7+ years of experience in compliance engineering, data governance, GRC, or data platform engineering with strong automation expertise
• Proven experience operationalizing privacy and regulatory requirements into technical controls and monitoring solutions (GDPR / DMA Compliance)
• Strong understanding of data lineage, metadata management, policy enforcement, and control frameworks (Data Governance)
• Hands-on experience building operational compliance and governance dashboards using BI tools or web technologies (Dashboard Development)
• Working knowledge of Python and/or JavaScript to develop automation scripts, integrate APIs, manipulate data, and support compliance and governance workflows (Scripting & Automation)
• Ability to write production-grade SQL to query large-scale distributed data stores for validation and audit purposes (SQL & Columnar Systems)
• Experience designing and deploying automated compliance workflows at scale (Workflow Automation)
• Ability to drive accountability and remediation ownership across distributed, multi-team organizations (Cross-Team Communication)

Nice To Haves

• Familiarity with enterprise catalog tools such as Collibra, DataHub, Unified Catalog, or equivalent (Data Catalog Platforms)
• Experience with approval workflows, entitlement management, and access control systems (Data Access Governance)
• Prior experience supporting large-scale, multi-team governance or compliance programs (Enterprise Governance Programs)
• Exposure to AI/ML-based data classification or governance automation frameworks at scale (AI/ML Governance)
• 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

Responsibilities

• 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
• Enhance compliance operations platforms to centralize and accelerate compliance reporting across ASE
• Develop automated workflows and alerts to proactively identify and surface compliance gaps
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed