> Markdown version of [/jobs/ext/4599112-salesforce-implementation-architect](https://www.wearedevelopers.com/jobs/ext/4599112-salesforce-implementation-architect). 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 Implementation Architect - **Company:** Salesforce Inc. - **Location:** San Francisco, CA, United States - **Salary:** $218,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Customer Data Management, Data Architecture, Cloud Services, Salesforce.Com, Tableau (Software), Enterprise Data Management, Snowflake, Agentic-AI, Build Management, Slack, Marketing Cloud, Mulesoft - **Published:** November 6, 2026 - **Apply:** https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/California---San-Francisco/Salesforce-Implementation-Architect_JR364948-1 ## About the Role Salesforce Data Solutions Architecture designs, builds and proves enterprise data and AI solutions on Salesforce technology, including Data 360, Tableau, Agentforce, MuleSoft, Slack and Marketing Cloud Next. Demand is growing faster than our capacity, and we need more hands-on production experience to share across the team., * Several years delivering complex enterprise implementations on Data 360 and the Salesforce platform in production * Working knowledge of at least two of Tableau, MuleSoft, Agentforce, Slack and Marketing Cloud Next * Strong grounding in data architecture, security, governance and cloud data platforms such as Snowflake * Hands-on skill with APIs, infrastructure-as-code and testing, and the credibility to advise senior leaders ## Description You'll prove designs in working systems rather than only advise on them. Where a Salesforce product falls short, you'll document why and what we recommend instead. What You'll Actually Be Doing * Design and build reference implementations across Data 360, Tableau, Agentforce, MuleSoft, Slack, Marketing Cloud Next and the core Salesforce platform * Solve production challenges: identity, access control, consent, governance, multi-region deployment and reliability * Build governed data products and semantic models for analytics and AI agents, and compare Salesforce with alternatives such as Snowflake based on tested requirements * Document decisions and reusable patterns, and mentor architects and engineers