DS
US_East | Data Engineer_L3
Datum Software, Inc
🇮🇱 Israel
On-site
Mid level
2 months ago
- AWS
- Google Ads
- SQL
- GCP
- Azure
- Python
- Apache Spark
- GLBA
- CCPA
2 months ago
Location: Charlotte, NC (Hybrid)
Top 5 Must-Have Skills:
- 5–7 years of experience in Data Engineering, Marketing Technology, or Identity Infrastructure
- 2+ years of experience with Data Clean Rooms (LiveRamp Clean Room/Habu preferred; InfoSum, AWS Clean Rooms, or Google Ads Data Hub acceptable)
- Strong experience writing Clean Room query logic, SQL, UDFs, and privacy-safe analytics
- Knowledge of Identity Resolution (RampID, deterministic/probabilistic matching, match optimization)
- Experience building cloud-based data pipelines using AWS, GCP, or Azure with Python and/or Spark
Job Description:
We are seeking an experienced Data Clean Room Engineer to support privacy-first data collaboration initiatives within a regulated enterprise environment. The ideal candidate will have strong expertise in data clean room technologies, cloud-based data engineering, identity resolution, and privacy-preserving analytics.
Key Responsibilities
- Design, develop, and maintain data clean room solutions using LiveRamp Clean Room (Habu) or comparable platforms such as InfoSum, AWS Clean Rooms, or Google Ads Data Hub.
- Author and optimize clean room query logic, User Defined Functions (UDFs), and publisher-constrained analytical models.
- Develop complex SQL queries that comply with privacy-safe computation standards, including suppression rules, aggregation thresholds, and noise budget requirements.
- Build, maintain, and optimize scalable cloud-based data pipelines using AWS, Azure, or Google Cloud Platform.
- Implement data transformation workflows using Python and/or Apache Spark.
- Support identity resolution processes, including deterministic and probabilistic matching techniques, RampID integration, and match-rate optimization.
- Ensure compliance with data privacy regulations such as GLBA, CCPA, and other applicable state privacy laws.
- Collaborate with cross-functional engineering, analytics, and business teams to deliver secure, privacy-compliant data collaboration solutions.
Required Qualifications:
- 5–7 years of professional experience in Data Engineering, Marketing Technology, or Identity Infrastructure.
- 2+ years of hands-on experience working in Data Clean Room environments.
- Strong preference for experience with LiveRamp Clean Room (Habu).
- Experience with InfoSum, AWS Clean Rooms, or Google Ads Data Hub is also acceptable.
- Demonstrated experience authoring clean room question logic and User Defined Functions (UDFs).
- Strong SQL development skills with expertise in privacy-preserving analytical patterns.
- Solid understanding of identity resolution concepts, including deterministic and probabilistic matching methodologies.
- Experience with RampID or similar persistent identity frameworks.
- Hands-on experience building cloud-based data pipelines using AWS, Azure, or GCP.
- Proficiency with Python and/or Spark for data transformation.
- Knowledge of privacy regulations applicable to financial services or other regulated industries.
“All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”
US_East | Data Engineer_L3 · Datum Software, Inc