Senior Salesforce AI, Data Cloud & Analytics Architect

Envision Technology Solutions; Alpharetta (GA); On-site; USD 180,000 - 260,000; Full time

Job summary

Envision Technology Solutions seeks a Senior Salesforce AI, Data Cloud & Analytics Architect to lead hands-on design and governance for Salesforce Agentforce, Data Cloud (Data 360), and Tableau Next across Sales, Service, Marketing, and Operations.

The role defines platform standards, reference designs, and roadmaps, guiding secure, scalable AI-enabled business capabilities with enterprise analytics at the core.

Qualifications

• Hands-on experience with Salesforce Agentforce, Einstein AI, or enterprise AI-enabled platforms.
• Hands-on experience with Salesforce Data Cloud / Data 360 including data modeling and governance.
• Experience with Tableau Next or enterprise analytics platforms and semantic modeling.

Responsibilities

• Serve as enterprise SME for Agentforce, Data Cloud, and Tableau Next architecture and governance.
• Design agent patterns, prompts, grounding strategies, and enterprise use cases.
• Partner with stakeholders to identify AI automation opportunities across Sales, Service, Marketing, and Operations.

Skills

Salesforce Agentforce

Einstein AI

Salesforce Data Cloud/Data 360

Tableau Next

Platform architecture

APIs & event-driven

Education

Bachelor's degree in CS/IS

Salesforce CTA or Architect certs

Tools

Snowflake

Tableau

Job description

Job Title: Senior Salesforce AI, Data Cloud & Analytics Architect

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.

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.

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 AI Specialist, AI Associate, or related Salesforce AI certifications.

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.