Salesforce Data Cloud Engineer

Salesforce Data Cloud Engineer

Years of experience :- 8+ Years

Roles and Responsiblities :- 

Design and implement scalable solutions using Salesforce Data Cloud capabilities. 

Work with cross-functional teams to ingest, unify, segment, and activate customer data. 

Lead the setup of data streams, identity resolution, data modeling, and data transformations. 

Ensure high data quality and integrity through proactive monitoring and validation. 

Develop and manage data ingestion pipelines and integrations with Salesforce and non-Salesforce platforms. 

Collaborate with product owners, architects, and business stakeholders to understand requirements and translate them into technical solutions. 

Troubleshoot and resolve technical issues related to Salesforce Data Cloud deployments. 

Stay current on Salesforce releases and best practices related to Data Cloud/CDP. 

Must have:- 

Minimum 5+ years of hands-on experience in Salesforce Data Cloud / CDP.

Strong knowledge of Salesforce architecture and multi-cloud integrations. 

Experience with customer 360 data modeling, identity resolution, and segmentation. 

Proficient in setting up and managing data streams and ingestion methods (batch and real-time). 

Hands-on experience with Salesforce Data Cloud APIs and declarative tools. 

Strong problem-solving and communication skills. 

Good to have :- 

Salesforce certifications (Data Cloud Consultant, Platform Developer I/II, Integration Architecture Designer). 

Experience with Marketing Cloud, MuleSoft, or Tableau. 

Familiarity with big data platforms and enterprise data lakes. 

Understanding of data privacy and governance (GDPR, CCPA). 

Experience in Agile/Scrum environments. 

Qualification & skills :-  

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 

Strong analytical and solution design skills. 

Excellent verbal and written communication. 

Ability to thrive in a fast-paced and collaborative environment.