Salesforce Data Cloud SME

Habilelabs Private Limited; Jaipur; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Habilelabs Private Limited in Jaipur, India is seeking a Salesforce Data Cloud SME to design and implement data cloud solutions and data models. You will configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution, and manage data ingestion using APIs and MuleSoft to translate business requirements into scalable Data Cloud architectures.

Strong analytical skills, 4-6 years of relevant experience, and Salesforce Data Cloud certification are preferred for

Qualifications

• 4-6 years of Salesforce experience with hands-on Salesforce Data Cloud expertise.
• Knowledge of Data Cloud architecture, data modeling, identity resolution, and segmentation.
• Experience with Salesforce APIs, MuleSoft, SQL, and data transformation.
• Strong understanding of Salesforce CRM and Customer 360.
• Salesforce Data Cloud certification is preferred.

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.
• 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 translate business requirements into scalable Data Cloud solutions.
• Troubleshoot data quality, integration, and performance issues.
• Collaborate with Salesforce developers, architects, and business teams.

Skills

Salesforce Data Cloud

Data Cloud architecture

Data modeling

Identity resolution

Segmentation

Salesforce APIs

MuleSoft

SQL

Data transformation

Customer 360

Tools

MuleSoft

APIs

Job description

Salesforce Data Cloud SME - Job Description

Experience: 4-6 Years

Role Overview:

We are looking for a Salesforce Data Cloud SME with strong experience in Salesforce Data Cloud, data integration, data modeling, and customer data management.

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.
• 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.
• Good understanding of Salesforce CRM and Customer 360.
• Salesforce Data Cloud certification is preferred.
• Strong analytical, communication, and problem-solving skills.