Job Description: Data Engineer – CDP
About the Role
We are seeking an experienced Data Engineer with strong CDP expertise to join our team. The ideal candidate will have hands-on experience working with Customer Data Platforms—specifically Real-Time CDP and Salesforce CDP—along with a solid background in modern data engineering tools and cloud technologies. You will be responsible for managing and optimizing CDP configurations, ensuring data quality and compliance, collaborating with cross-functional teams, and supporting scalable data pipelines in a cloud environment..
Key Responsibilities:
· Manage, configure, and optimize CDP (Real-Time and Salesforce CDP) environments.
· Handle incident resolution, troubleshooting, and platform performance improvements.
· Ensure governance, compliance, and data quality across CDP workflows.
· Collaborate closely with product, marketing, analytics, and engineering teams to support data activation and customer insights.
· Build and maintain scalable data models and transformation pipelines using dbt.
· Develop and maintain cloud-based data solutions using GCP BigQuery.
· Use Terraform for infrastructure provisioning and configuration management.
· Write clean, efficient, and optimized SQL for data extraction, manipulation, and analysis.
· Contribute to best practices, documentation, and continuous improvement of data engineering processes.
Required Qualifications
· Strong hands-on experience with CDP platforms (Real-Time CDP and Salesforce CDP).
· Proven experience in incident handling, monitoring, and platform optimization.
· Expertise in CDP configuration, governance, and compliance standards.
· Excellent communication skills with the ability to work across cross-functional teams.
· Proficiency in:
· Strong analytical and problem-solving skills.
· Experience working in remote or distributed team environments is a plus.
Integers.Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.