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We are seeking a Senior Privacy Engineer to join our Data Platform and Security team. This role will be instrumental in embedding privacy by design principles into our modern cloud-native data ecosystem. You will improve and operationalize privacy controls across data pipelines, products, and platforms—ensuring that personal and sensitive information is protected while enabling scalable analytics, AI/ML, and product innovation. By working closely with security, engineering, legal, and data teams, you will help us balance compliance with speed, building trust in how data is managed, protected, and used.
Job Responsibility:
Embed Privacy by Design: Strengthen and operationalize our Privacy by Design program across systems, integrations, pipelines, and applications for B2B and B2C products and services
Investigate & Remediate Incidents: Analyze privacy and security incidents, perform root cause analysis, and drive remediation to prevent recurrence
Conduct Risk Assessments: Assist in privacy impact assessments for new products or data uses and risk reviews to identify vulnerabilities in our platforms, APIs, and ML Pipelines etc
Optimize Privacy Controls: Design and implement advanced controls for data classification, access management, encryption, anonymization, and pseudonymization
Provide Guidance & Enablement: Prescribe guidance and techniques for data anonymization and pseudonymization to the Data Engineering team, enabling the ML team to develop privacy-preserving models
Collaborate Cross-Functionally: Partner with security, legal, IT, engineering, and AI teams to align on regulatory compliance and technical implementation
Support Compliance: Ensure global privacy compliance (GDPR, CCPA, etc.) across a modern data stack (Snowflake, Databricks, CDP, Looker, AWS etc)
Innovate Privacy Solutions: Drive the development of new privacy-preserving features, tools, and automation for data lifecycle management
Maintain Documentation: Build and update technical documentation covering data flows, tracking technologies, retention policies, and privacy controls
Requirements:
5+ years of experience in privacy engineering, data protection, or security engineering
Passion for privacy, trust, and data protection in modern cloud platforms
Strong analytical and problem-solving skills, with the ability to solve complex privacy and technical issues autonomously
Excellent communication skills, with the ability to explain complex topics to both technical and non-technical stakeholders
Background in secure coding practices, code auditing, and privacy-preserving design patterns
Proficiency with Python or other scripting languages for automation and privacy tool development
Hands-on experience with cloud environments and integration into data pipelines
Awareness of data protection regulations and principles (GDPR, CCPA,) and the ability to translate legal guidance into technical processes.
Familiarity with privacy tech platforms (e.g. DataGrail, Transcend), Data Subject Requests, cookie and tracking technology management platforms (CMPs) is a plus
Experience embedding privacy into modern data platforms (CDPs, Snowflake, Databricks, analytics tools, AI/ML workflows) is highly beneficial.
Nice to have:
Familiarity with privacy tech platforms (e.g. DataGrail, Transcend), Data Subject Requests, cookie and tracking technology management platforms (CMPs)
Experience embedding privacy into modern data platforms (CDPs, Snowflake, Databricks, analytics tools, AI/ML workflows)
What we offer:
Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
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