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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.
