Salesforce Implementation Architect

The Experience

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.

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

You're Our Person If...

• 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