Description

Key Responsibilities:

• Design and implement scalable data ingestion pipelines into Salesforce Data Cloud from internal and external systems.
• Configure and manage Data Streams, Data Model Objects (DMOs), and Calculated Insights.
• Work with cross-functional teams (marketing, CRM, analytics) to ensure accurate customer identity resolution and data unification.
• Integrate Salesforce Data Cloud with Salesforce Marketing Cloud, Sales Cloud, and external analytics platforms.
• Implement and manage data hygiene, governance, and data quality best practices.
• Build and monitor CI/CD pipelines for Data Cloud configurations using tools like Copado, GitLab, or Gearset.
• Develop scalable processes for managing environments (Dev, UAT, Prod) using scratch orgs or sandboxes.

Required Skills & Qualifications:

Salesforce Data Cloud 

• Experience working with Salesforce Data Cloud (Genie/CDP).
• Deep understanding of Data Streams, Data Model Objects (DMOs), Unified Profiles, Calculated Insights, Segments.
• Experience configuring Data Cloud Connector for SFMC, and activating data to Marketing Cloud.

Salesforce Platform:

• Familiarity with Salesforce Marketing Cloud, Sales Cloud, or Service Cloud.
• Familiarity with Salesforce APIs (REST, Bulk, Composite).

Good to have

Data Engineering & Integration:

• Experience with ETL/ELT pipelines using tools like Apache Airflow, GCP Data Pipelines.
•  SQL and data modeling skills.
• Understanding of JSON, Parquet, Avro, and large-scale data processing.

Cloud & DevOps:

• Familiarity with GCP 
• Experience with CI/CD pipelines, especially using Copado, GitLab

Key Skills

Education

Bachelor’s degree