Salesforce Data Cloud Engineer

Mindtris; Memphis (TN); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Long-term contract with possible permanency

Focus on workforce diversity

Job summary

A tech solutions firm in Memphis, TN, is seeking a Salesforce Data Cloud Engineer (Hybrid) to develop customer data platforms and identity resolution pipelines. The ideal candidate will have over 5 years in data engineering, especially with Salesforce Data Cloud. Responsibilities include designing scalable data pipelines, activating customer data across platforms, and ensuring compliance with data privacy. This long-term contract role emphasizes innovative solutions in CRM and data governance.

Qualifications

• 5+ years of experience in data engineering or Customer Data Platforms (CDP).
• 2+ years of hands-on experience with Salesforce Data Cloud or similar CDP.
• Strong SQL skills for Data Model Objects and Segmentation workflows.

Responsibilities

• Design and implement Salesforce Data Cloud pipelines for customer profile platform.
• Build audience segmentation and activation pipelines.
• Implement data governance ensuring privacy compliance.

Skills

Data engineering

SQL skills

Salesforce Data Cloud experience

Data privacy understanding

ETL/ELT pipelines

Tools

Amazon Redshift

dbt

Kafka

Kinesis

Salesforce Data Cloud

Job description

Job Title: Salesforce Data Cloud Engineer (CDP / Identity Resolution)

Location: Memphis, TN (Hybrid Onsite)

Duration: 18 Months + Extensions (Long-term contract or can go permanent)

Start Date: ASAP

Job Summary

This role focuses on building and maintaining a unified customer data platform using Salesforce Data Cloud. The position will design and implement scalable identity resolution pipelines that enable marketing and business teams to activate high-quality customer profiles across multiple platforms.

The ideal candidate will have strong experience with Salesforce Data Cloud, customer data platforms (CDP), and modern data engineering practices, along with deep SQL expertise and experience building identity resolution and segmentation pipelines.

Key Responsibilities

• Design and implement Salesforce Data Cloud pipelines, including Data Streams, Data Model Objects (DMOs), and Calculated Insights to support a scalable customer profile platform.
• Build and optimize audience segmentation and activation pipelines to Marketing Cloud, advertising platforms, Sales/Service systems, and commerce platforms.
• Define and implement identity resolution strategies using deterministic and probabilistic matching to create accurate golden records and improve profile completeness.
• Implement data governance and consent modeling, ensuring privacy compliance across ingestion, identity resolution, and activation processes.
• Partner with marketing, product, and CRM teams to translate business use cases into Data Cloud data models, insights, and event‑driven activation workflows.
• Establish CI/CD processes, automated data quality checks, monitoring, data lineage, and SLA reporting for ingestion and activation pipelines.
• Collaborate with data platform teams to integrate Salesforce Data Cloud with analytics and machine learning environments such as Amazon Redshift and Databricks.

Required Qualifications

• 5+ years of experience in data engineering, CRM platforms, or Customer Data Platforms (CDP).
• 2+ years of hands‑on experience with Salesforce Data Cloud or a similar CDP platform.
• Strong SQL skills and experience working with:
  • Data Model Objects (DMOs)
  • Data Graphs
  • Calculated Insights
  • Segmentation and activation workflows
• Experience activating customer data across Marketing Cloud, advertising platforms, and Sales/Service systems.
• Experience with ETL/ELT pipelines, streaming technologies (Kafka or Kinesis), APIs, and Git‑based CI/CD workflows.
• Strong understanding of data privacy, consent management, and PII/PHI protection practices.

Preferred Qualifications

• Experience with Python or dbt
• Experience with Master Data Management (MDM) tools
• Experience with Reverse ETL pipelines
• Experience with data warehouse platforms such as Amazon Redshift
• Experience with Einstein Studio, ML operationalization, or Copado
• Experience with Salesforce Data Cloud, SQL
• Experience with CRM / Customer Data Platforms (CDP)

Mindtris, a minority women‑owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top‑tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.