Salesforce Data Cloud Engineer

Orison Solutions LLC; Indianapolis (IN); On-site; USD 120,000 - 180,000; Full time

Job summary

Orison Solutions LLC seeks a Salesforce Data Cloud Engineer to design and maintain scalable data integration pipelines across enterprise systems and Salesforce Data Cloud.

You will collaborate with marketing, CRM, analytics, and engineering to ensure identity resolution, data unification, and real-time personalization. The role requires ETL/ELT, GCP and CI/CD expertise.

Qualifications

• Experience with Salesforce Data Cloud (Genie/CDP).
• Deep understanding of Data Streams, DMOs, Unified Profiles, Calculated Insights, Segments.
• Experience configuring Data Cloud Connector for SFMC and activating data to Marketing Cloud.
• ETL/ELT pipelines experience with SQL and large-scale data processing.
• Familiarity with GCP and CI/CD pipelines (Copado/GitLab/Gearset).

Responsibilities

• Design and implement scalable data ingestion pipelines into Salesforce Data Cloud from internal and external systems.
• Configure and manage Data Streams, DMOs, and Calculated Insights.
• Collaborate with marketing, CRM, and analytics to ensure 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 practices.
• Build and monitor CI/CD pipelines for Data Cloud configurations (Copado, GitLab, Gearset).
• Develop environments management processes (Dev, UAT, Prod) using scratch orgs or sandboxes.

Skills

Salesforce Data Cloud

Data modeling

ETL/ELT

GCP

CI/CD

Tools

Copado

GitLab

Gearset

Job description

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.