Salesforce Data Cloud Engineer (Hands-On | Identity Resolution & Activation)
Nextech, Memphis, TN, United States
Salesforce Data Cloud Engineer (Hands-On | Identity Resolution & Activation)
Location:
Remote or Memphis, TN (Hybrid)
Overview
We are seeking a hands‑on Salesforce Data Cloud Engineer to support the design, implementation, and optimization of a unified customer data platform. This role is focused on building and enabling identity resolution, data modeling, and activation capabilities within Salesforce Data Cloud.
This is not an architecture‑only role. The ideal candidate will have direct, hands‑on experience working within Salesforce Data Cloud and be able to clearly articulate real‑world implementations from data ingestion through activation.
You will partner closely with engineering, marketing, and CRM teams to enable high‑quality, unified customer profiles and activate those profiles across downstream platforms.
Key Responsibilities
Design, build, and optimize Salesforce Data Cloud pipelines and data models
Implement and manage identity resolution processes, including matching rules and unified profile creation
Configure and maintain Data Model Objects, Data Graphs, and Calculated Insights
Develop and support segmentation and activation workflows across CRM, marketing, and external platforms
Enable and optimize data activation capabilities beyond ingestion
Ensure data quality, consistency, and governance across the data lifecycle
Collaborate with cross‑functional teams to translate business requirements into scalable solutions
Support ongoing enhancements and optimization of the customer data platform
Required Qualifications
5+ years of experience in data engineering, customer data platforms, or CRM systems
Proven hands‑on experience working within Salesforce Data Cloud
Experience with Data Model Objects, Data Graphs, and identity resolution frameworks
Strong SQL skills and experience working with large‑scale datasets
Experience with data ingestion, transformation, and modeling workflows
Understanding of customer data platforms and master data management concepts
Experience integrating and activating data across downstream systems
Ability to clearly explain technical implementations and design decisions
Preferred Qualifications
Experience with streaming or event‑driven data pipelines
Experience with modern data warehouse platforms such as Snowflake or Redshift
Experience with Python, dbt, or similar tools
Experience with Reverse ETL or customer data activation tools
Exposure to broader CRM and marketing platform ecosystems
Paul.Turner
#J-18808-Ljbffr
Location:
Remote or Memphis, TN (Hybrid)
Overview
We are seeking a hands‑on Salesforce Data Cloud Engineer to support the design, implementation, and optimization of a unified customer data platform. This role is focused on building and enabling identity resolution, data modeling, and activation capabilities within Salesforce Data Cloud.
This is not an architecture‑only role. The ideal candidate will have direct, hands‑on experience working within Salesforce Data Cloud and be able to clearly articulate real‑world implementations from data ingestion through activation.
You will partner closely with engineering, marketing, and CRM teams to enable high‑quality, unified customer profiles and activate those profiles across downstream platforms.
Key Responsibilities
Design, build, and optimize Salesforce Data Cloud pipelines and data models
Implement and manage identity resolution processes, including matching rules and unified profile creation
Configure and maintain Data Model Objects, Data Graphs, and Calculated Insights
Develop and support segmentation and activation workflows across CRM, marketing, and external platforms
Enable and optimize data activation capabilities beyond ingestion
Ensure data quality, consistency, and governance across the data lifecycle
Collaborate with cross‑functional teams to translate business requirements into scalable solutions
Support ongoing enhancements and optimization of the customer data platform
Required Qualifications
5+ years of experience in data engineering, customer data platforms, or CRM systems
Proven hands‑on experience working within Salesforce Data Cloud
Experience with Data Model Objects, Data Graphs, and identity resolution frameworks
Strong SQL skills and experience working with large‑scale datasets
Experience with data ingestion, transformation, and modeling workflows
Understanding of customer data platforms and master data management concepts
Experience integrating and activating data across downstream systems
Ability to clearly explain technical implementations and design decisions
Preferred Qualifications
Experience with streaming or event‑driven data pipelines
Experience with modern data warehouse platforms such as Snowflake or Redshift
Experience with Python, dbt, or similar tools
Experience with Reverse ETL or customer data activation tools
Exposure to broader CRM and marketing platform ecosystems
Paul.Turner
#J-18808-Ljbffr