Salesforce data cloud developer

ClinDCast LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

ClinDCast LLC is seeking a Salesforce Data Cloud veteran to design and implement scalable data cloud solutions in a remote US-based role. You will work on data models, streams, DLOs/DMOs, and identity resolution while integrating diverse data sources via MuleSoft and APIs.

Applicants should have 4-6 years of Salesforce experience with hands-on Data Cloud expertise and Salesforce Data Cloud certification. Strong SQL, data transformation, and privacy/compliance knowledge are essential.

Qualifications

• 4-6 years of Salesforce experience with strong hands-on Salesforce Data Cloud expertise.
• Strong knowledge of Data Cloud architecture, data modeling, identity resolution, and segmentation.
• Experience with Salesforce APIs, MuleSoft/integration tools, SQL, and data transformation.
• Salesforce Data Cloud certified

Responsibilities

• Design and implement Salesforce Data Cloud solutions and data models.
• Configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution.
• Integration & Ingestion: Manage data pipelines using APIs, ETL tools, or MuleSoft to connect external data sources.
• Develop and manage data ingestion and integration using APIs, MuleSoft, and other ETL tools.
• Configure Calculated Insights, Segmentation, and Data Actions.
• Work with stakeholders to understand business requirements and translate them into scalable Data Cloud solutions.
• Troubleshoot data quality, integration, and performance issues.
• Collaborate with Salesforce developers, architects, and business teams

Skills

Salesforce Data Cloud

SQL

REST API

SOAP API

Data modeling

Identity resolution

Segmentation

Data integration

Data quality

Tools

MuleSoft

ETL tools

Salesforce APIs

Job description

Key Responsibilities:· Design and implement Salesforce Data Cloud solutions and data models.· Configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution.· Integration & Ingestion: Manage data pipelines using APIs, ETL tools, orMuleSoft to connect external data sources· Develop and manage data ingestion and integration using APIs, MuleSoft, and other ETL tools.· Configure Calculated Insights, Segmentation, and Data Actions.· Work with stakeholders to understand business requirements and translate them into scalable Data Cloud solutions.· Troubleshoot data quality, integration, and performance issues.· Collaborate with Salesforce developers, architects, and business teams.Key Skills:· 4-6 years of Salesforce experience with strong hands-on Salesforce Data Cloud expertise.· Strong knowledge of Data Cloud architecture, data modeling, identity resolution, and segmentation.· Experience with Salesforce APIs, MuleSoft/integration tools, SQL, and data transformation.· Strong proficiency in SQL, data transformation concepts, and REST/SOAP APIs· Deep familiarity with Sales Cloud, Marketing Cloud, Service Cloud, and data privacy/compliance standards· Salesforce Data Cloud certifiedThis is a remote position.