Back
Remote role at a well-known Accenture partner with mid-senior demand but niche Salesforce Data Cloud specialization.
Platform-specific Salesforce Data Cloud and Agentforce skills transfer across industries but remain specialized to Salesforce ecosystems.
Explicit 6+ years plus required Salesforce Data Cloud and integration expertise makes shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and own end-to-end technical solution design and execution on Salesforce Data 360 and Agentforce platforms, focusing on data streams, identity resolution, real-time activation, and agentic AI solutions.
Architect scalable, secure data models and integration frameworks connecting Data 360 with MuleSoft, data warehouses, and other enterprise systems using batch and real-time patterns.
Oversee project lifecycle stages including design, development, testing, deployment; establish DevOps and CI/CD best practices; mentor developers and junior architects.
6+ years of experience in application, data, or software development and architecture.
3+ years of hands-on Salesforce Platform experience in development or architecture roles.
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Hands-on experience with Salesforce Data 360 (Data Cloud) including data streams, DLOs, DMOs, identity resolution, and activation; proficiency in SQL and Apex; experience with data integration and CI/CD practices.
Experienced in architecting AI-powered customer data solutions specifically on Salesforce Data 360 and generative AI platforms like Agentforce.
Strong proficiency in designing scalable, secure data architectures and real-time activation for business outcomes.
Capable of collaborating cross-functionally with technical and non-technical stakeholders and mentoring junior team members in advanced Salesforce and AI technologies.