> Markdown version of [/jobs/ext/4333389-salesforce-technical-architect-data-cloud](https://www.wearedevelopers.com/jobs/ext/4333389-salesforce-technical-architect-data-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Technical Architect - Data Cloud - **Company:** Insight Global - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Engineering, Customer Data Management, Data Architecture, Data Integration, Cloud Services, Salesforce.Com, Software Deployment, Data Ingestion, Generative AI, Data Management, User Identification, Vectorization - **Published:** October 9, 2026 - **Apply:** https://dejobs.org/x/x/BA569C4A550E4B588BDE712BD262581A/job/ ## About the Role * 7+ years of Salesforce platform experience. * 3+ years of Salesforce Data Cloud (Data 360) experience. * Proven experience serving as a Salesforce Technical Architect or Lead Architect. * Deep expertise in: Salesforce Data Cloud Data Architecture Data Modeling Data Management Data Ingestion Identity Resolution Data Integration * Experience designing and configuring Data Cloud solutions from initial architecture through production deployment. * Strong understanding of enterprise integration patterns and APIs. * Experience evaluating existing implementations and providing optimization recommendations. * Ability to move seamlessly between architecture and hands-on delivery responsibilities. ## Description We are seeking a highly technical and hands-on Salesforce Technical Architect with deep expertise in Salesforce Data Cloud and Agentforce to lead the design, optimization, and implementation of next-generation AI-powered customer data solutions. This role requires a unique blend of architecture, strategy, and hands-on development. The ideal candidate will assess existing Data Cloud implementations, identify optimization opportunities, design scalable solutions, and actively participate in configuration and build activities. The architect will play a key role in enabling AI and Agentforce use cases through advanced data architecture, ingestion, vectorization, and Retrieval-Augmented Generation (RAG) solutions.