Associate Principal - Architecture

About the role

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.

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
• Define reusable architecture standards, reference designs, platform guardrails, and technical roadmaps for Salesforce AI, data, and analytics capabilities
• Identify and escalate platform security, data quality, compliance, integration, scalability, and operational risks to Solution Architects, platform leadership, and enterprise architecture teams
• Influence enterprise strategy related to AI adoption, customer intelligence, data activation, analytics modernization, and Salesforce platform consolidation

Qualifications

Required Experience:

• 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

Required Skills

• 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 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

Pay

Variable compensation included (bonus or variable payout component based on individual and organizational performance). Actual compensation within the range dependent upon skills, experience, performance, and internal equity.

Benefits

• Comprehensive Medical Plan covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave