78603 Salesforce Data Cloud engineer

Cephas Consultancy Services Private Limited; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cephas Consultancy Services Private Limited is seeking a Senior Salesforce Data Cloud Engineer to design, implement, and maintain data integration pipelines between enterprise systems and Salesforce Data Cloud. You will work on ingestion, identity resolution, unification, activation, and insights to enable 360° customer views and real-time personalization.

The role involves collaborating with marketing, CRM, and analytics teams, configuring Data Cloud components, and ensuring data quality and

Qualifications

• Experience with Salesforce Data Cloud (Genie/CDP).
• Knowledge of Data Streams, DMOs, Unified Profiles, Calculated Insights.
• Experience configuring Data Cloud Connector for SFMC.
• Familiarity with Salesforce Marketing Cloud, Sales Cloud, or Service Cloud.
• Familiarity with Salesforce APIs (REST, Bulk, Composite).
• Experience with ETL/ELT pipelines (Airflow, GCP Data Pipelines).
• SQL and data modeling skills.
• Understanding of JSON, Parquet, Avro, and large-scale data processing.
• Familiarity with GCP.
• Experience with CI/CD pipelines using Copado, GitLab.

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.
• Collaborate with cross-functional teams to ensure identity resolution and data unification.
• Integrate Salesforce Data Cloud with 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 Copado, GitLab, or Gearset.
• Develop scalable processes for managing environments (Dev, UAT, Prod) using scratch orgs or sandboxes.

Skills

Salesforce Data Cloud

Data integration

Data quality

CI/CD

GitLab

Copado

ETL/ELT

SQL

GCP

Tools

Copado

GitLab

Gearset

Salesforce APIs

Apache Airflow

Job description

About this position

Positions:2 Full Time
Experience
6 - 10 Years

Job Title: Salesforce Data Cloud Engineer

Experience Level: Senior

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

Good to have

• 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.
• 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.