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Salesforce Data Cloud Engineer

Orison Solutions


Job Location:

Hyderabad - India

Monthly Salary: Not provided by the employer
Posted: 16 September 2026 (3 days ago)
Application Deadline: 14 December 2026
Vacancies: 1 Vacancy

Job Summary

Job Title: Salesforce Data Cloud Engineer


Role Summary:

We are seeking a highly skilled Salesforce Data Cloud Engineer to design implement and maintain robust data integration pipelines between enterprise systems and Salesforce Data Cloud. This role involves working across data ingestion identity resolution unification activation and insights enabling 360 customer views and real-time personalization.

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.


Soft Skills:

Strong problem-solving ability and attention to detail.
Ability to work in a fast-paced agile environment.
Excellent communication skills to work with stakeholders across engineering marketing and analytics teams.


Required Skills:

SALES CLOUDSQLJSON