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Senior Salesforce AI, Data Cloud & Analytics Architect
Job Location:
Job Location:
Coral Springs, FL - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 September 2026 (Yesterday)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
At Staffworxs we dont just connect talent we power transformation. Headquartered in Frisco TX with teams in Bengaluru and Hyderabad we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worlds top brands who continue to retain us as their trusted partner. If youre ready to make an impact youre in the right place.
Job Details:
Job Title: Senior Salesforce AI Data Cloud & Analytics Architect
Location: Coral Springs Florida OR Alpharetta GA OR Berkeley Heights New Jersey OR Frisco Texas OR Brookfield Wisconsin
Its hybrid for local candidates and remote for non-locals but occasionally they have to travel to any of the client locations.
Duration: 12 months Contract
Responsibilities:
Senior Salesforce AI Data Cloud & Analytics Architect
Role Summary
We are seeking a Senior Salesforce AI Data Cloud & Analytics Architect to serve as a hands-on enterprise Subject Matter Expert (SME) for Salesforce Agentforce 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 hands-on 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.
Scope Accountability & Impact (Senior Level)
Typically 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
Serve as the enterprise SME for Salesforce Agentforce capabilities AI agent design and AI-enabled business processes.
Design and support Agentforce agents agent actions orchestration patterns prompts grounding strategies and enterprise use cases.
Partner with business stakeholders to identify assess prioritize and implement AI automation opportunities across Sales Service Marketing and Operations.
Define Responsible AI practices security guardrails approval patterns escalation rules testing approaches and operational controls for production AI agents.
Translate business objectives into practical Agentforce solution designs that are secure scalable supportable and aligned with enterprise architecture standards.
Data Cloud (Data 360) Architecture & Customer Data
Strategy
Design and govern Salesforce Data Cloud architecture supporting customer 360 identity resolution segmentation activation analytics and AI use cases.
Define enterprise customer data models canonical entities data mapping standards harmonization approaches and stewardship practices.
Architect ingestion and integration of data from Salesforce Snowflake marketing platforms service systems ERP platforms APIs and other enterprise sources.
Support batch near real-time and event-driven data patterns required to enable Agentforce Tableau Next personalization analytics and operational workflows.
Establish data quality lineage certification access control privacy and governance expectations for Salesforce Data Cloud data products.
Tableau Next & Analytics Enablement
Serve as a technical SME for Tableau Next and Salesforce analytics capabilities used to deliver governed enterprise reporting insights and AI-assisted analytics.
Design semantic models reusable business metrics KPI definitions dimensions measures and analytic frameworks that support consistent enterprise decision-making.
Partner with business leaders and analysts to deliver executive dashboards operational reporting self-service analytics and natural language insight experiences.
Define best practices for data visualization semantic governance dashboard performance certified assets user enablement and analytics lifecycle management.
Ensure Tableau Next solutions align with enterprise data governance standards and integrate appropriately with Salesforce Data Cloud Snowflake and other trusted data sources.
Enterprise Integration & Platform Architecture
Define integration patterns connecting Salesforce Data Cloud Snowflake APIs middleware cloud platforms and enterprise systems.
Collaborate with engineering teams to design secure scalable maintainable and observable platform solutions.
Evaluate emerging Salesforce AI Agentforce Data Cloud Tableau Next and platform capabilities and recommend practical adoption strategies.
Create reference architectures solution designs standards decision records technical roadmaps and implementation guidance for delivery teams.
Support modernization efforts involving CRM consolidation customer data unification analytics rationalization and AI-enabled workflow automation.
Technical Leadership & Platform Governance
Provide technical leadership mentoring and guidance to architects developers administrators analysts and implementation partners.
Lead design workshops architecture reviews proof-of-concepts demos technical assessments and executive-level solution walkthroughs.
Establish governance frameworks for platform scalability compliance security data access model quality AI behavior and operational readiness.
Partner with Salesforce account teams implementation partners enterprise architecture information security and business stakeholders to drive successful outcomes.
Champion adoption of Salesforce AI data and analytics capabilities while ensuring solutions remain practical secure governed and aligned to enterprise priorities.
Required Qualifications
Direct hands-on experience with Salesforce Agentforce Einstein AI Salesforce AI capabilities or enterprise AI-enabled platform solutions.
Direct hands-on 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 cross-functional leadership skills.
Preferred / Strong Plus Qualifications
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 hands-on experience delivering enterprise Tableau analytics solutions.
Experience with Snowflake Snowflake Cortex semantic layers AI/ML 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.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
Job Details:
Job Title: Senior Salesforce AI Data Cloud & Analytics Architect
Location: Coral Springs Florida OR Alpharetta GA OR Berkeley Heights New Jersey OR Frisco Texas OR Brookfield Wisconsin
Its hybrid for local candidates and remote for non-locals but occasionally they have to travel to any of the client locations.
Duration: 12 months Contract
Responsibilities:
Senior Salesforce AI Data Cloud & Analytics Architect
Role Summary
We are seeking a Senior Salesforce AI Data Cloud & Analytics Architect to serve as a hands-on enterprise Subject Matter Expert (SME) for Salesforce Agentforce 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 hands-on 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.
Scope Accountability & Impact (Senior Level)
Typically 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
Serve as the enterprise SME for Salesforce Agentforce capabilities AI agent design and AI-enabled business processes.
Design and support Agentforce agents agent actions orchestration patterns prompts grounding strategies and enterprise use cases.
Partner with business stakeholders to identify assess prioritize and implement AI automation opportunities across Sales Service Marketing and Operations.
Define Responsible AI practices security guardrails approval patterns escalation rules testing approaches and operational controls for production AI agents.
Translate business objectives into practical Agentforce solution designs that are secure scalable supportable and aligned with enterprise architecture standards.
Data Cloud (Data 360) Architecture & Customer Data
Strategy
Design and govern Salesforce Data Cloud architecture supporting customer 360 identity resolution segmentation activation analytics and AI use cases.
Define enterprise customer data models canonical entities data mapping standards harmonization approaches and stewardship practices.
Architect ingestion and integration of data from Salesforce Snowflake marketing platforms service systems ERP platforms APIs and other enterprise sources.
Support batch near real-time and event-driven data patterns required to enable Agentforce Tableau Next personalization analytics and operational workflows.
Establish data quality lineage certification access control privacy and governance expectations for Salesforce Data Cloud data products.
Tableau Next & Analytics Enablement
Serve as a technical SME for Tableau Next and Salesforce analytics capabilities used to deliver governed enterprise reporting insights and AI-assisted analytics.
Design semantic models reusable business metrics KPI definitions dimensions measures and analytic frameworks that support consistent enterprise decision-making.
Partner with business leaders and analysts to deliver executive dashboards operational reporting self-service analytics and natural language insight experiences.
Define best practices for data visualization semantic governance dashboard performance certified assets user enablement and analytics lifecycle management.
Ensure Tableau Next solutions align with enterprise data governance standards and integrate appropriately with Salesforce Data Cloud Snowflake and other trusted data sources.
Enterprise Integration & Platform Architecture
Define integration patterns connecting Salesforce Data Cloud Snowflake APIs middleware cloud platforms and enterprise systems.
Collaborate with engineering teams to design secure scalable maintainable and observable platform solutions.
Evaluate emerging Salesforce AI Agentforce Data Cloud Tableau Next and platform capabilities and recommend practical adoption strategies.
Create reference architectures solution designs standards decision records technical roadmaps and implementation guidance for delivery teams.
Support modernization efforts involving CRM consolidation customer data unification analytics rationalization and AI-enabled workflow automation.
Technical Leadership & Platform Governance
Provide technical leadership mentoring and guidance to architects developers administrators analysts and implementation partners.
Lead design workshops architecture reviews proof-of-concepts demos technical assessments and executive-level solution walkthroughs.
Establish governance frameworks for platform scalability compliance security data access model quality AI behavior and operational readiness.
Partner with Salesforce account teams implementation partners enterprise architecture information security and business stakeholders to drive successful outcomes.
Champion adoption of Salesforce AI data and analytics capabilities while ensuring solutions remain practical secure governed and aligned to enterprise priorities.
Required Qualifications
Direct hands-on experience with Salesforce Agentforce Einstein AI Salesforce AI capabilities or enterprise AI-enabled platform solutions.
Direct hands-on 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 cross-functional leadership skills.
Preferred / Strong Plus Qualifications
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 hands-on experience delivering enterprise Tableau analytics solutions.
Experience with Snowflake Snowflake Cortex semantic layers AI/ML 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.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
Required Experience:
Senior IC
