About the Role We are seeking a highly strategic, technically profound Enterprise Salesforce Solution Architect to lead complex, multi-cloud digital transformations. In this role, you will serve as the trusted advisor for enterprise clients, translating complex business requirements into durable, scalable technical solutions.
The ideal candidate possesses deep expertise across the entire Salesforce ecosystem, including specialized knowledge in Agentforce, Data Cloud, MuleSoft, and complex multi-org strategies. You will bridge the gap between business and technology, guiding architectural decisions, leading pre-sales efforts, and mentoring technical talent.
Key Responsibilities
Enterprise Architecture & Solution Design
- Design and document scalable, multi-cloud architecture patterns across Sales, Service, Experience, Revenue (CPQ & Billing), Financial Services, and Marketing Clouds.
- Lead multi-org strategy, including org consolidation, tenant architecture, and migration phasing.
- Facilitate discovery workshops, elicit requirements, and create comprehensive solution design documentation (BRDs, FRDs, technical specs).
- Develop entity relationships, data flow diagrams, and reference architecture frameworks.
- Manage scalability, platform limits, governor limits, and system performance design.
Integration, Data & Security Strategy
- Design enterprise integration architectures utilizing MuleSoft Anypoint, Platform Events, Change Data Capture (CDC), and Event Bus architecture.
- Define API strategy (lifecycle, versioning, security) and implement REST/SOAP integrations and ERP integration patterns (e.g., SAP, NetSuite).
- Oversee Data Cloud architecture, Master Data Management (MDM), CRM Analytics, and robust data governance/migration strategies.
- Design enterprise security architectures incorporating Salesforce Shield, SSO/SAML, identity & access management, and compliance frameworks (HIPAA, PCI-DSS, SOC2).
AI & Agentforce Implementation
- Lead the design and deployment of Agentforce solutions, including multi-agent orchestration, topic/action mapping, and autonomous workflow design.
- Develop Einstein AI strategies, utilizing Prompt Templates, grounding, and Data Cloud + AI activation for personalized pipelines.
- Identify AI use cases, define scoping, and enforce responsible AI governance in an enterprise context.
Technical Governance & DevOps
- Define Enterprise DevOps governance, CI/CD pipeline design, and package management strategies utilizing Salesforce DX.
- Assess technical debt and lead code review, enforcing advanced patterns in Apex, Lightning Web Components (LWC), and Advanced Flows.
- Ensure SOQL optimization and performance testing protocols are strictly followed.
Consulting, Pre-Sales & Leadership
- Lead executive presentations, steering committee participation, and high-level architecture decision communication.
- Provide vital pre-sales support, including SOW contributions, effort estimation (T-shirt sizing), solution scoping, and risk mitigation planning.
- Drive practice leadership by developing capabilities, playbooks, and standards.
- Mentor technical teams and guide the development of internal talent.
Required Skills & Experience
- Core Platform: Expert-level understanding of the Salesforce Object Model, declarative automation, multi-cloud architecture, and custom metadata types.
- Architecture: Proven experience in multi-org environments, sandbox/environment strategy, and technical roadmap development.
- Integration/DevOps: Deep knowledge of modern API patterns, MuleSoft, Git/CI/CD pipelines, and branching strategies.
- Development: Strong foundation in Apex triggers/classes, async patterns, LWC patterns, and REST services (ability to guide developers, not necessarily write code daily).
- Business Acumen: Exceptional stakeholder communication, business process mapping (BPMN), and client relationship management skills.
- US Candidates only
Pay: $85,456.13-$172,914.91 per year
Work Location: Remote
