Salesforce Data Cloud Engineer

Largeton Group; Tennessee; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions provider in Tennessee is seeking a Salesforce Data Cloud Engineer to design and implement customer data platforms, focusing on identity resolution and data pipeline optimization. The successful candidate will have over 5 years of data engineering experience and proficiency in Salesforce Data Cloud, SQL, and data governance practices. Responsibilities include integrating analytics platforms and ensuring data privacy compliance. This role offers competitive compensation and opportunities for professional growth.

Qualifications

• 5+ years in data engineering, CRM, or CDP.
• 2+ years with Salesforce Data Cloud or similar CDP.
• Experience in segmentation, activation workflows, and data governance.

Responsibilities

• Design and implement unified customer data platforms using Salesforce Data Cloud.
• Develop and optimize data pipelines including Data Streams and DMOs.
• Build audience segmentation and activation workflows for various platforms.
• Define and execute identity resolution strategies.
• Implement data governance and privacy compliance practices.
• Partner with marketing, product, and CRM teams for data models.
• Establish CI/CD processes and automated data quality checks.
• Integrate Salesforce Data Cloud with analytics and ML platforms.
• Utilize strong SQL skills and modern data engineering techniques.

Skills

Salesforce Data Cloud

SQL

CRM / Customer Data Platforms (CDP)

Identity Resolution

Data Pipeline Engineering

Data Privacy & Consent Management

Tools

Amazon Redshift

Databricks

ETL/ELT technologies

Kafka

Kinesis

Git

Python

dbt

Job description

Job Summary

• Design and implement unified customer data platforms using Salesforce Data Cloud, focusing on scalable identity resolution pipelines.
• Develop and optimize data pipelines including Data Streams, Data Model Objects (DMOs), and Calculated Insights to support high-quality customer profiles.
• Build audience segmentation and activation workflows for Marketing Cloud, advertising, sales/service, and commerce platforms.
• Define and execute identity resolution strategies (deterministic & probabilistic) to create accurate golden records and improve data completeness.
• Implement data governance and privacy compliance practices, including consent modeling and PII/PHI protection.
• Partner with marketing, product, and CRM teams to translate business requirements into data models, insights, and activation workflows.
• Establish CI/CD processes and automated data quality checks, monitoring, lineage, and SLA reporting for data pipelines.
• Integrate Salesforce Data Cloud with analytics and ML platforms (e.g., Amazon Redshift, Databricks).
• Utilize strong SQL skills and modern data engineering techniques in building and maintaining data infrastructure.
• Work with ETL/ELT pipelines, streaming technologies (Kafka/Kinesis), APIs, and Git-based CI/CD workflows.
• Support customer data activation across multiple platforms, ensuring high data quality and compliance.
• Preferred: Experience with Python/dbt, MDM tools, reverse ETL pipelines, Amazon Redshift, and ML operationalization (Einstein Studio/Copado).

Top Skills

• Salesforce Data Cloud
• SQL
• CRM / Customer Data Platforms (CDP)
• Identity Resolution
• Data Pipeline Engineering
• Data Privacy & Consent Management

Required Experience

• 5+ years in data engineering, CRM, or CDP
• 2+ years with Salesforce Data Cloud or similar CDP
• Experience in segmentation, activation workflows, and data governance

This summary provides a concise, list-format overview of the key responsibilities and qualifications for the Salesforce Data Cloud Engineer role at ALSAC.