Salesforce Data cloud DATA 360 Developer

Sigma Allied Services; Hyderabad; Hybrid; INR 2,000,000 - 2,100,000; Full time

Job summary

Sigma Allied Services in Hyderabad (India) is seeking a Salesforce Data Cloud Engineer to design, implement, and maintain data integration pipelines across enterprise systems and Salesforce Data Cloud for 360 customer views and real-time personalization.

The role requires hands-on experience with Genie/CDP, DMOs, Data Streams, unification, identity resolution, and Salesforce APIs, with strong data engineering and CI/CD capabilities using Copado, GitLab or Gearset.

Qualifications

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

Responsibilities

• Design scalable data ingestion pipelines into Salesforce Data Cloud from internal and external systems.
• Configure and manage Data Streams, DMOs, and Calculated Insights.
• Ensure accurate customer identity resolution and data unification across systems.
• Integrate Salesforce Data Cloud with Salesforce Marketing Cloud, Sales Cloud, and external analytics platforms.

Skills

ETL/ELT pipelines

SQL

Data modeling

Tools

Copado

GitLab

Gearset

GCP

Job description

Role & responsibilities

Job Title: Salesforce Data Cloud Engineer (Data/Customer 360)
Experience Level: 3+ yrs

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.

Preferred candidate profile

Relevant years of experience in Salesforce DATA CLOUD 2+ years

• Notice Period Immediate to 15 days
• Mandatory Skills Salesforce data cloud Certified
• Maximum salary or rate that can be offered 20-21 LPA
• Shift Timing/On-Call/Weekend Support Needed –Second shit 2.00 PM to 10.00 PM IST
• How many rounds of Interview - 2 LEVELS