MarTech LiveRamp Clean Room Engineer

Location: Charlotte, NC – Hybrid
Experience: 5–7 Years
 

Job Summary

We are seeking a MarTech LiveRamp Clean Room Engineer with strong experience in data engineering, marketing technology, identity infrastructure, and privacy-focused data collaboration.

The ideal candidate will have hands-on experience with LiveRamp Clean Room (Habu) or comparable clean room technologies and be capable of developing privacy-safe query logic, UDFs, data pipelines, and identity-resolution solutions.

Primary Skills

• LiveRamp Clean Room / Habu,
• Data Clean Rooms,
• SQL,
• Clean Room Query Logic,
• User-Defined Functions (UDFs),
• Data Engineering
• Identity Resolution
• Privacy-Safe Data Processing
• Cloud Data Platforms
• Python / Spark

Secondary Skills

• InfoSum,
• AWS Clean Rooms,
• Google Ads Data Hub,
• Google Cloud Platform,
• AWS,
• Azure
• RampID / Persistent IDs
• Deterministic & Probabilistic Matching
• Match Rate Optimization
• Data Privacy
• GLBA
• CCPA
• Marketing Technology / MarTech
• Data Pipelines

Key Responsibilities

• Design, develop, and maintain solutions within data clean room environments.
• Author privacy-safe query logic and UDFs using publisher-constrained query models.
• Develop aggregate computation solutions using suppression rules, minimum group sizes, and privacy-preserving techniques.
• Build and maintain cloud-based data pipelines using Google Cloud Platform, AWS, or Azure.
• Use SQL, Python, and/or Spark for data transformation and processing.
• Implement identity resolution strategies using deterministic and probabilistic matching techniques.
• Work with RampID or equivalent persistent identity frameworks.
• Optimize identity matching and improve match rates while maintaining privacy requirements.
• Support marketing technology and data collaboration initiatives.
• Ensure data solutions comply with applicable privacy and regulatory requirements.
• Collaborate with data engineering, marketing technology, identity, and business teams.

Required Qualifications

• 5–7 years of professional experience in data engineering, marketing technology, or identity infrastructure.
• 2+ years of hands-on experience working in a data clean room environment.
• Strong preference for LiveRamp Clean Room (Habu) experience; experience with InfoSum, AWS Clean Rooms, or Google Ads Data Hub is also relevant.
• Demonstrated experience developing clean room query logic and/or UDFs—not limited to ingestion or ETL.
• Strong SQL skills and understanding of privacy-safe aggregate computation.
• Knowledge of identity resolution, including deterministic and probabilistic matching.
• Experience with RampID or equivalent persistent identity linkage is preferred.
• Experience building and maintaining cloud data pipelines.
• Proficiency with Python or Spark for data transformation.
• Understanding of data privacy regulations relevant to financial services or regulated industries, including GLBA and CCPA.