Overview In this role you will design and implement scalable, AI-ready data privacy architecture across enterprise data environments. You will embed privacy-by-design, consent enforcement, data sovereignty, and compliance controls in global data platforms, partnering with engineering, security, legal, and product teams. You will build reusable privacy patterns and guardrails for AI workflows, enabling secure data usage while reducing risk. This opportunity lets you shape privacy architecture at scale, balancing compliance with innovation. You will drive trusted data practices across regions and platforms, delivering measurable impact for customers and the business.
Compensation / Benefits- Health insurance
- Dental insurance
- Vision insurance
- Disability insurance
- Employee assistance program
- Flexible spending account
Responsibilities- Embed privacy-by-design and consent-aware data usage across analytics, personalization, marketing, product telemetry, support, and AI use cases
- Architect reusable privacy components (APIs, SDKs, reference architectures, automation patterns, policy-as-code)
- Design privacy controls for AI agents and AI-enabled workflows handling sensitive data
- Translate global regulations into enforceable technical controls and auditable consent enforcement
- Implement data minimization, anonymization, pseudonymization, tokenization, encryption, masking, and secure data sharing patterns
- Partner with Legal, Privacy, Cybersecurity, and Compliance to ensure regulatory alignment
- Establish privacy architecture patterns across data warehouses, lakehouses, metadata platforms, and cloud platforms
- Integrate DLP, data classification, data lineage, DSPM, IAM, KMS, and monitoring into the data ecosystem
- Lead hands-on architecture guidance for high-risk data initiatives and platform modernization
- Mentor engineers, architects, data scientists, and product teams on privacy engineering best practices
Key requirements- 10+ years in data privacy, data protection, cybersecurity, data architecture, or enterprise data platforms
- Proven experience architecting privacy and data protection solutions in large, global environments
- Hands-on privacy-by-design, consent management, data sovereignty, DLP, and sensitive data protection controls
- Strong understanding of GDPR, CCPA/CPRA, LGPD, PIPL, India DPDP Act, and related standards
- Experience with AWS, Azure, or GCP and enterprise data platforms
- Working knowledge of privacy tech: BigID, OneTrust, Securiti, Collibra, Informatica, Microsoft Purview, AWS Macie, Google Cloud DLP, Azure Information Protection, DLP, DSPM, CASB, IAM, KMS
- Strong skills in Python, Java, SQL, APIs, Spark, data pipelines, IaC, and policy-as-code
- Experience with AI/ML, generative AI, RAG architectures, vector databases, model governance, or AI-enabled data products
- Excellent communication and ability to influence across legal, privacy, engineering, and executive stakeholders
- strong communication
- influencing abilities
- collaboration
- privacy-by-design
- consent management
- data protection
