:

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).

Valuable 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.

📌 Salesforce Data Cloud Engineer (India)
🏢 HR Central Services
📍 India