Principal Data Privacy Architect

Role Overview

• Design and implement scalable, AI-ready data privacy architecture across enterprise data environments, applications, and AI-enabled workflows.
• Serve as a hands-on subject matter expert responsible for embedding privacy-by-design, consent enforcement, data sovereignty, data loss prevention, and compliance controls into large, complex global data environments.
• Partner closely with Data Engineering, Cybersecurity, Legal, Privacy, AI Governance, Product, and Enterprise Architecture teams to ensure customer, employee, partner, and sensitive enterprise data is accessed, processed, shared, retained, and protected in a compliant, secure, and trustworthy manner.
• Build reusable privacy architecture patterns that enable secure, compliant, and scalable data usage across platforms, products, and regions.
• Design consent-aware data access and usage patterns across analytics, personalization, marketing, product telemetry, support, and AI use cases.
• Ensure customer data is collected, processed, shared, retained, and deleted according to approved purposes, consent preferences, and regulatory obligations.
• Architect reusable privacy engineering components, including APIs, SDKs, reference architectures, automation patterns, and policy-as-code controls.
• Design privacy controls for AI agents and AI-enabled workflows that access, process, summarize, or publish sensitive data.
• Partner with Legal, Privacy, Cybersecurity, and Compliance teams to translate global privacy regulations and internal policies into enforceable technical controls.
• Mentor engineers, architects, data scientists, and product teams on privacy engineering best practices.

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, Cybersecurity, Data Engineering, or related field.
• 10+ years of progressive experience in data privacy, data protection, cybersecurity, data architecture, or enterprise data platforms.
• Proven experience architecting privacy and data protection solutions in large, complex, global environments.
• Hands-on experience implementing privacy-by-design, consent management, data sovereignty, DLP, and sensitive data protection controls.
• Strong understanding of global privacy regulations and frameworks, including GDPR, CCPA/CPRA, LGPD, PIPL, India DPDP Act, NIST, ISO 27001, and related privacy/security standards.
• Experience with cloud platforms such as AWS, Azure, or GCP, and enterprise data platforms including data warehouses, lakehouses, data catalogs, metadata platforms, and big data environments.
• Working knowledge of privacy and data protection technologies such as BigID, OneTrust, Securiti, Collibra, Informatica, Microsoft Purview, AWS Macie, Google Cloud DLP, Azure Information Protection, DLP, DSPM, CASB, IAM, and KMS capabilities.
• Strong technical skills in Python, Java, SQL, APIs, Spark, data pipelines, infrastructure-as-code, and policy-as-code.
• Experience with AI/ML, generative AI, AI agents, RAG architectures, vector databases, feature stores, model governance, or AI-enabled data products.
• Ability to translate legal, privacy, compliance, and business requirements into scalable technical architecture.
• Strong communication and influencing skills with engineers, architects, legal teams, privacy teams, product leaders, and senior executives.

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• Google Cloud Platform
• Informatica
• Java
• Python
• Spark
• SQL

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave