Role description
Senior Salesforce AI Data Cloud Analytics Architect to serve as a handson enterprise Subject Matter Expert SME for Salesforce Agent force Data Cloud Data 360 and Tableau Next. This role partners closely with Solution Architects Sales Service Marketing Data Platform Security and Business teams to design and deliver AI powered data driven capabilities across the Salesforce ecosystem. This individual is a handson technical and strategic contributor responsible for defining platform architecture agent design patterns data model strategy semantic layer standards integration approaches governance practices and analytics enablement for enterprise customer intelligence and AI driven business processes.
10 years of experience in enterprise application architecture CRM platforms data platforms analytics AI enabled solutions or related technology domains.
5 years of Salesforce architecture experience supporting enterprise scale Sales Service Marketing Data Cloud analytics or platform implementation initiatives.
Serves as the primary SME for Agentforce Data Cloud Data 360 and Tableau Next architecture implementation patterns governance and adoption strategy.
Defines reusable architecture standards reference designs platform guardrails and technical roadmaps for Salesforce AI data and analytics capabilities.
Identifies and escalates platform security data quality compliance integration scalability and operational risks to Solution Architects platform leadership and enterprise architecture teams.
Influences enterprise strategy related to AI adoption customer intelligence data activation analytics modernization and Salesforce platform consolidation.
Key Responsibilities
Agentforce Strategy AI Solution Architecture.
Data Cloud Data 360 Architecture Customer Data Strategy.
Tableau Next Analytics Enablement.
Enterprise Integration Platform Architecture.
Technical Leadership Platform Governance.
Required Skills
Direct handson experience with Salesforce Agentforce Eins4AI Salesforce AI capabilities or enterprise AIenabled platform solutions.
Direct handson experience with Salesforce Data Cloud Data 360 including data modeling ingestion identity resolution segmentation activation or governance.
Experience with Tableau Next Tableau or equivalent enterprise analytics and semantic modeling platforms.
Strong Salesforce platform architecture experience across Sales Cloud Service Cloud Platform integrations security model metadata automation and data architecture.
Experience designing customer 360 solutions semantic data models governed data products and enterprise reporting or analytics frameworks.
Strong understanding of APIs event driven architecture data integration patterns middleware cloud platforms and enterprise data platforms such as Snowflake.
Experience defining architecture standards solution designs technical roadmaps governance models and implementation patterns for enterprise platforms.
Strong knowledge of data governance privacy compliance access controls auditability and security expectations in regulated enterprise environments.
Excellent executive communication stakeholder management technical translation documentation and crossfunctional leadership skills.
Preferred Strong Plus Skills
Salesforce Certified Technical Architect CTA or Salesforce Architect level certifications
Salesforce Data Cloud Consultant Certification
Salesforce AI Specialist AI Associate or related Salesforce AI certifications
Tableau certifications or handson experience delivering enterprise Tableau analytics solutions
Experience with Snowflake, Snowflake Cortex semantic layers AIML platforms or enterprise data Lakehouse medallion architecture patterns.
Experience integrating Salesforce with Snowflake AWS Azure Google Cloud middleware API gateways or enterprise data platforms.
Experience leading enterprise AI governance Responsible AI adoption platform modernization or customer intelligence initiatives.
Experience within financial services payments fintech or other highly regulated industries.
Experience working in Agile delivery models with product owners architects engineering teams QA security and operations teams.
