Job Title: Lead Privacy Engineer / Technical De-Identification Architect
Location: NY/NJ (Hybrid)
Hire-Type: Long-term
Job Description:
Role Summary
We are seeking a Lead Privacy Engineer / Technical De-Identification Architect to design, implement, and operationalize advanced de-identification, anonymization, pseudonymization, and encryption capabilities for Project Key Responsibilities
1) Technical architecture for de-identification and encryption
2) De-identification and anonymization rules engineering
3) Pipeline integration and workflow implementation
4) Testing, validation, and certification
5) Documentation, standards, and operationalization
6) Production execution and support for use-case data
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Engineering, Biomedical Informatics, Information Security, or related technical field
- 7+ years of experience in privacy engineering, data protection engineering, security architecture, data platform engineering, or closely related technical roles
- Hands-on experience designing and implementing de-identification, anonymization, or pseudonymization controls for sensitive or regulated data
- Strong understanding of cryptographic concepts and enterprise encryption patterns, including data-at-rest encryption, transport encryption, key management, secrets management, and certificate-based trust models
- Experience designing secure handling patterns for identifiers, tokenization systems, mapping tables, and access-restricted re-linkage mechanisms
- Experience integrating privacy and security controls into cloud-native or enterprise data pipelines, APIs, and analytics platforms
- Strong technical experience with schema design, transformation logic, metadata-driven processing, validation rules, and control automation
- Experience evaluating commercial or open-source de-identification or privacy-enhancing technologies from both architecture and implementation perspectives
- Ability to convert legal, privacy, and regulatory requirements into enforceable technical specifications and control frameworks
- Strong documentation skills, including reference architectures, technical standards, interface definitions, and runbooks
Technical Skills
- De-identification, anonymization, pseudonymization, tokenization
- Field-level, column-level, and object-level encryption
- Key management, secrets management, certificate lifecycle concepts
- Privacy engineering and secure data architecture
- ETL/ELT, ingestion pipelines, workflow orchestration
- Metadata-driven controls and schema enforcement
- Risk scoring and residual re-identification analysis
- Structured and unstructured data transformation
- Technical vendor assessment and proof-of-concept design
- Architecture documentation and operational runbooks
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