Salesforce Data Cloud Developer

Siri InfoSolutions, Inc. is seeking a Salesforce Data Cloud Developer with expertise in data integration and enterprise CRM data architecture. The role involves hands-on configuration and delivery of Salesforce Data Cloud, along with end-to-end integration between Azure Databricks and Salesforce Data Cloud.

Responsibilities:

• 5 years in data integration data platform engineering enterprise CRM data architecture (or equivalent)
• At least 1 enterprise implementation of Salesforce Data Cloud (Data 360) in production| with hands-on configuration and delivery experience (not only advisory)
• Proven delivery of end-to-end integration between Azure Databricks and Salesforce Data Cloud| including Databricks connector setup in Data Cloud
• Data Streams creation and deployment for ingestion
• Zero-copy federation use case implementation (see below)
• Identity Resolution configuration and tuning
• Activation data push to Salesforce CRM org
• Required Salesforce Data Cloud and Salesforce development Skills
• Enable and configure Data Cloud features| objects| and permissions (Data Cloud Setup| Data Spaces| roles permission sets)
• Create and manage Data Streams and understand how they generate Data Lake Objects (DLOs) that can be mapped to the Customer 360 data model
• Understand Databricks connector options available for Data In (Batch Zero Copy) and when to use each
• The candidate demonstrates proficiency in key Salesforce development areas| with extensive knowledge and practical experience in Lightning Flow| Apex| JavaScript| and Lightning Web Components (LWC)
• Lightning Flow Skilled in designing and implementing process automation and workflows using Salesforce Lightning Flow| enabling streamlined business processes and enhanced user experience
• Apex Possesses in-depth expertise in Apex| Salesforce's proprietary programming language| for developing custom logic| triggers| and integrations that extend platform functionality
• JavaScript Experienced in utilizing JavaScript to create interactive components and enhance the responsiveness of Salesforce applications
• Lightning Web Components (LWC) Adept at developing modern| reusable| and efficient user interface components using LWC| resulting in scalable and maintainable Salesforce solutions

Requirements:

• 5 years in data integration data platform engineering enterprise CRM data architecture (or equivalent)
• At least 1 enterprise implementation of Salesforce Data Cloud (Data 360) in production with hands-on configuration and delivery experience (not only advisory)
• Proven delivery of end-to-end integration between Azure Databricks and Salesforce Data Cloud including Databricks connector setup in Data Cloud
• Data Streams creation and deployment for ingestion
• Zero-copy federation use case implementation
• Identity Resolution configuration and tuning
• Activation data push to Salesforce CRM org
• Required Salesforce Data Cloud and Salesforce development Skills
• Enable and configure Data Cloud features, objects, and permissions (Data Cloud Setup, Data Spaces, roles permission sets)
• Create and manage Data Streams and understand how they generate Data Lake Objects (DLOs) that can be mapped to the Customer 360 data model
• Understand Databricks connector options available for Data In (Batch Zero Copy) and when to use each
• Proficiency in key Salesforce development areas with extensive knowledge and practical experience in Lightning Flow, Apex, JavaScript, and Lightning Web Components (LWC)
• Skilled in designing and implementing process automation and workflows using Salesforce Lightning Flow, enabling streamlined business processes and enhanced user experience
• Possesses in-depth expertise in Apex, Salesforce's proprietary programming language, for developing custom logic, triggers, and integrations that extend platform functionality
• Experienced in utilizing JavaScript to create interactive components and enhance the responsiveness of Salesforce applications
• Adept at developing modern, reusable, and efficient user interface components using LWC, resulting in scalable and maintainable Salesforce solutions
• Digital : Databricks
• Digital : Salesforce Community Cloud