Salesforce Implementation Architect - Data & AI Solutions

Salesforce, Inc.

Washington (IN)

Hybrid

USD 218,000 - 365,000

Full time

2 days ago
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Job summary

Salesforce, Inc. is seeking an Implementation Architect to design and deliver enterprise data solutions on Salesforce technology, including Data 360, Tableau, Agentforce, MuleSoft, Slack and Marketing Cloud Next.

You will prove designs in working systems and mentor engineers, aligning with governance and security practices. Ideal candidates have years of hands-on enterprise deployments, strong data architecture skills, API and IaC proficiency, and the credibility to advise senior leaders across

Qualifications

  • Extensive enterprise implementations on Data 360 and the Salesforce platform.
  • Experience with two of Tableau, MuleSoft, Agentforce, Slack and Marketing Cloud Next.
  • Strong data architecture, security and governance capabilities.
  • Hands-on APIs, infrastructure-as-code and testing; ability 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.
  • Document decisions and reusable patterns, and mentor architects and engineers.

Skills

Data architecture
APIs
Infrastructure-as-code
Testing
Leadership
Salesforce platform

Tools

Tableau
MuleSoft
Agentforce
Slack
Marketing Cloud Next
Snowflake

Job description

Salesforce, Inc. is seeking an Implementation Architect to design and deliver enterprise data solutions on Salesforce technology, including Data 360, Tableau, Agentforce, MuleSoft, Slack and Marketing Cloud Next.

You will prove designs in working systems and mentor engineers, aligning with governance and security practices. Ideal candidates have years of hands-on enterprise deployments, strong data architecture skills, API and IaC proficiency, and the credibility to advise senior leaders across

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