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# Salesforce Data 360 developer

- **Company:** Q1 Technologies, Inc.
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Databases, Customer Data Management, Data Files, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Visualization, Query Languages, Power BI, Cloud Services, Requirements Management, Salesforce.Com, Simple Object Access Protocol (SOAP), Software Engineering, SQL Databases, Data Streaming, Tableau (Software), Web Services, Enterprise Software Applications, Informatica Powercenter, Salesforce Sales Cloud, Data Lakes, Data Analytics, Salesforce Object Query Language (SOQL), Data Management, Restful APIs, Multiplatform, Data Pipelines, Marketing Cloud, Mulesoft
- **Published:** August 23, 2026
- **Apply:** https://www.careerbuilder.com/job-details/salesforce-data-360-developer-charlotte-nc--37597a67-8b34-4b40-9ff8-833ec4f572f6

## About the Role

Must Have Technical/Functional Skills

Primary skills: Salesforce Data Cloud, SQL / SOQL, MuleSoft / Informatica / ETL tools, REST & SOAP APIs, Salesforce Marketing Cloud, Sales Cloud, Service Cloud, Cloud platforms (AWS / Azure / GCP optional), Data visualization tools (Tableau, Power BI optional).
Experience: Minimum 10+ years, Amazon Web Services (AWS), Application Programming Interface (API), Campaigns, Cloud Computing, Customer Relations, Customer Relationship Management (CRM), Customer/Client Research, Data Management, Data Modeling, Data Sets, Data Visualization Tools, Database Extract Transform and Load (ETL), Database Programming Languages, Ecosystems, GCP (Good Clinical Practices), Informatica, Marketing, Microsoft Windows Azure, Multiplatform/Cross-Platform, Power BI, REST (Representational State Transfer), Requirements Management, SOAP (Simple Object Access Protocol), SQL (Structured Query Language), Sales, Sales Pipeline, Salesforce.com, Software Engineering, Tableau, Testing, Use Cases

## Description

We are seeking a skilled Salesforce Data Cloud (Data 360) Developer to design, develop, and implement data-driven solutions leveraging Salesforce Data Cloud. The role focuses on unifying customer data, building identity resolution strategies, enabling segmentation, and supporting real-time personalization across Salesforce platforms., o Design and implement Data Cloud (formerly Customer Data Platform / Data 360) solutions within the Salesforce ecosystem
o Configure and manage data ingestion pipelines from multiple sources (CRM, APIs, data lakes, external systems)
o Develop and maintain data models, data streams, and data harmonization rules
o Implement identity resolution and customer profile unification
o Build and manage calculated inssights, segments, and audience activation workflows
o Integrate Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, and external applications
o Develop data transformations using SQL, Data Cloud Query Language, or other tools
o Ensure data governance, quality, and compliance across datasets
o Work with business stakeholders to translate requirements into technical solutions
o Support real-time and batch activation use cases (e.g., personalization, campaigns, analytics)
o Troubleshoot and optimize Data Cloud configurations and performance


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