- Design end-to-end Salesforce solutions where Data Cloud acts as the unified data layer for customers, products, and interactions.

- Define high-level architecture: objects, Data Cloud model, integrations, and activation patterns back into core Salesforce clouds (Sales, Service, Marketing, etc.)

Data Cloud Implementation :

- Configure data streams and Data Model Objects (DMOs) from Salesforce and external sources.

- Set up identity resolution, unification, and basic calculated insights.

- Build segments and activations to create/update records (Leads, Contacts, Cases, Tasks, Campaign Members, etc.) in the relevant clouds.

Core Salesforce Engineering :

- Implement and review configuration and automation : Flows, validation rules, page layouts, record types.

- Use Apex where needed for complex or cross-cloud logic.

- Design robust data models and automation that work at scale and within governor limits.

AI / Agentforce Enablement :

- Collaborate on use cases where Agentforce / Einstein 1 / Prompt Builder or other AI capabilities consume Data Cloud as context.

- Help define how agents or automations should use trusted Salesforce data - without owning all AI for the organization.

Integration Awareness :

- Work with integration specialists (e.g., MuleSoft / other iPaaS / ETL teams) to define clean Salesforce-side contracts and mappings.

- Ensure designs are integration-friendly and clearly document what data originates in Salesforce vs external systems (ERP, data lakes, marketing tools, etc.)

Quality & Governance :

- Promote best practices for data quality, security, performance, and maintainability.

- Perform design and code reviews for Salesforce and Data Cloud changes.

Core Skills & Experience :

Must-Have :

- 7+ years overall Salesforce Development experience, including senior engineer or solution-lead responsibilities.

- Strong experience with at least one major Salesforce cloud (e.g., Sales, Service, Experience, or Marketing Cloud) and solid understanding of how others fit in.

- Practical experience with Salesforce Data Cloud, including :

Setting up data streams & DMOs
Configuring identity resolution & unification

- Building segments and activating data back into Salesforce

- Ability to work with architects, product owners, and business SMEs to turn requirements into implementable designs.

Nice-to-Have :

- Experience with Agentforce / Einstein 1 / Prompt Builder

- Exposure to integration platforms such as MuleSoft, or consuming REST/streaming APIs from ERPs, data platforms, or marketing tools.

- Relevant Salesforce certifications (e.g., Data Cloud Consultant, Application Architect, Sales/Service Cloud Consultant, Platform Developer I/II)