Salesforce Implementation Architect
salesforceSeattle, WA
About the role
Overview:
As a Data Solutions Architect at Salesforce, you design and deliver enterprise data and AI solutions on the Salesforce stack, including Data 360, Tableau, Agentforce, MuleSoft, Slack, and Marketing Cloud Next. You will build reference implementations, tackle production challenges around governance and multi-region deployment, and create reusable patterns while mentoring others. This role drives scalable data products and semantic models for analytics and AI agents, comparing Salesforce with alternatives like Snowflake. You’ll work closely with senior leaders to shape decisions and impact. Compensation / Benefits time off programs medical, dental, vision mental health support paid parental leave life and disability insurance 401(k) plan and employee stock purchase program
Responsibilities:
Design and build reference implementations across Data 360, Tableau, Agentforce, MuleSoft, Slack, Marketing Cloud Next and core Salesforce platform Resolve production challenges: identity, access control, consent, governance, multi-region deployment and reliability Create governed data products and semantic models for analytics and AI agents; compare Salesforce with Snowflake-based on requirements Document decisions and reusable patterns; mentor architects and engineers
Key requirements:
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; credibility to advise senior leaders strong communication leadership and mentorship problem-solving Data 360 Tableau MuleSoft
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JOB OVERVIEW
Experience level
Lead
Location
Seattle, WA
Occupation
Computer Systems Engineers/Architects
Industry
Computer Systems Design Services
Posted
today
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