Enterprise Salesforce AI & Data Architect

Salesforce, Inc.; Indianapolis (IN); On-site; USD 218,000 - 365,000; Full time

Job summary

Salesforce is seeking a seasoned Data Solutions Architect to design and deploy enterprise data and AI solutions on Salesforce technology, including Data 360, Tableau, Agentforce, MuleSoft, Slack and Marketing Cloud Next. You will address production challenges, governance, and multi-region reliability while mentoring engineers and guiding senior leaders.

Ideal candidates have years of hands-on experience with Data 360 and Salesforce in production, plus strong data architecture and cloud platform

Qualifications

• Several years delivering complex enterprise implementations on Data 360 and 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.

Responsibilities

• 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.

Skills

Data architecture

APIs

Infrastructure as code

Testing

Tools

Tableau

MuleSoft

Agentforce

Slack

Marketing Cloud Next

Snowflake

Job description

Salesforce is seeking a seasoned Data Solutions Architect to design and deploy enterprise data and AI solutions on Salesforce technology, including Data 360, Tableau, Agentforce, MuleSoft, Slack and Marketing Cloud Next. You will address production challenges, governance, and multi-region reliability while mentoring engineers and guiding senior leaders.

Ideal candidates have years of hands-on experience with Data 360 and Salesforce in production, plus strong data architecture and cloud platform