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
Job Title: Salesforce Data 360 developer
Duration- Fulltime Permanent
Location: Charlotte NC/ Addison TX/Jacksonville, FL (Onsite from Day 1)
Job Description:
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
Roles & Responsibilities
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.
Key Responsibilities:
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
Q
Q1 Technologies, Inc
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.