• Strategic platform design
• Enterprise data and integration architecture
• AI and Agentic solutions
• Governance, compliance, and operational excellence

Core Responsibilities

Salesforce Platform Architecture & Delivery

• Define and maintain the end-to-end Salesforce architecture across:
  • Sales Cloud, Service Cloud, Marketing Cloud, and B2B Commerce
• Translate business requirements into scalable, maintainable solutions:
  • Data models, Process automation, and UI/UX
• Serve as the technical design authority for all Salesforce initiatives:
  • Solution design, estimation and planning, and design reviews and approvals
• Ensure platform scalability, performance, and maintainability while managing technical debt

2. Enterprise Integration Architecture (SAP, Snowflake, External Systems)

• Own the integration architecture between Salesforce and Enterprise Business Systems, including:
  • SAP (order-to-cash, pricing, invoicing, customer master)
  • Snowflake (data warehouse and analytics platform)
  • Transportation Management System (TMS – Redwood)
• Define and enforce:
  • API design standards (REST, event-driven architectures)
  • Integration patterns (real-time vs batch vs event streaming)
  • Data contracts and system SLAs
• Collaborate with integration teams to ensure:
  • Reliability and observability of integrations
  • Error handling and reconciliation processes

3. Enterprise Data Architecture & Governance

• Define system-of-record ownership across platforms:
  • SAP (financials, order delivery, invoicing)
  • Salesforce (customer engagement and pipeline, order entry)
  • Snowflake (enterprise analytics and consolidation)
• Architect and govern the Customer 360 strategy, ensuring consistency between:
  • Salesforce Data Cloud (future state)
  • Snowflake data models
  • Operational systems
• Prevent duplication and fragmentation by:
  • Defining authoritative data sources
  • Aligning data models across platforms
  • Governing data synchronization strategies
• Ensure data integrity, quality, and lineage visibility

4. Analytics & Reporting Alignment (Snowflake + Power BI)

• Ensure alignment between Salesforce data and enterprise reporting standards
• Define clear boundaries:
  • Salesforce operational dashboards and workflows
  • Snowflake + Power BI enterprise reporting & KPI’s, deep analytics and modeling
• Partner with analytics teams to:
  • Standardize key metrics across systems
  • Prevent conflicting or duplicate reporting logic

5. Governance, Security & Compliance

• Establish and enforce Salesforce platform governance, including:
  • Change management and release processes (CI/CD)
  • Environment and sandbox strategy
  • Code quality and review standards, including test class compliance
• Ensure compliance with:
  • SOX, PII controls (where applicable)
  • Data security and access governance (role-based, field-level)
  • Auditability of system changes and data usage
• Define and implement governance for:
  • Data access and sharing
  • External integrations
  • AI-enabled processes

6. DevOps & Platform Operations Oversight

• Oversee DevOps processes using tools such as:
  • Gearset (current tool), Copado, or equivalent
• Act as the final escalation point for:
  • Critical production issues
  • Performance optimization
  • Release coordination
• Monitor platform health and:
  • Maintain uptime and reliability targets
  • Proactively manage technical debt

7. AI & Automation Strategy (Pragmatic Implementation)

• Lead the evaluation, design, and rollout of AI-driven capabilities within Salesforce, including:
  • Snowflake event triggers workstream within Salesforce
  • Data Cloud-powered insights
  • Workflow automation
  • Emerging Agentforce use cases
• Focus on practical, business-driven use cases, such as:
  • Customer service automation
  • Sales productivity enhancements
  • Marketing optimization
• Ensure all AI capabilities:
  • Are grounded in trusted enterprise data
  • Meet security and compliance requirements
  • Deliver measurable business outcomes

8. Business Alignment & Stakeholder Engagement

• Partner with business leaders across:
  • Sales, Customer Care, Marketing, Finance Logistics and Operations
• Translate business strategy into:
  • Technology roadmaps and scalable platform capabilities
• Act as a trusted advisor on:
  • Platform capabilities, trade-offs and solution design, and investment prioritization

Qualifications

Experience

• 6–8 years of experience in Salesforce architecture and solution design
• Proven experience in integrating Salesforce with ERP systems (SAP preferred)
• Experience working with Snowflake or similar enterprise data platforms
• Experience in mid-market or enterprise environments with complex integrations
• Experience with Agentforce and other AI based designs

Technical Expertise

• Deep expertise in:
  • Apex, Flow, Lightning Web Components (LWC)
  • Salesforce data modeling and security architecture
• Strong understanding of:
  • API design and integration patterns
  • Event-driven architecture concepts
  • Relational data modeling and ELT processes
  • Zero Copy methodology and architecture between Salesforce Data Cloud and external data warehouse, like Snowflake
• Experience with DevOps tools and CI/CD practices

Data & Architecture Skills

• Strong understanding of:
  • Data governance principles
  • System-of-record design
  • Customer data management (Customer 360 concepts)
• Experience aligning operational systems with enterprise analytics platforms

Certifications

• Salesforce Application Architect (or equivalent experience)

• Salesforce Data Cloud Consultant
• Integration Architect or equivalent
• Snowflake certification (or equivalent experience)

Soft Skills

• Strong communication and stakeholder engagement skills
• Ability to operate across technical and business domains
• Analytical problem-solving mindset
• Experience working in Agile environments

What Success Looks Like

• Stable, Scalable Platform: High system reliability with minimal production disruption
• Integrated Ecosystem: Seamless data flow across Salesforce, SAP, and Snowflake
• Data Integrity: Consistent, trusted customer and transactional data across systems
• Governed Platform: Strong compliance, security, and maintainable architecture
• Business Impact: Measurable improvements in:
  • Sales productivity
  • Customer experience
  • Operational efficiency