Salesforce Technical Lead Integration & Architecture/Salesforce Lead Architect (Hands-on)

VDart, Inc.

Juno Beach, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Salesforce Object Search Language (SOSL) Agile Methodology Artificial Intelligence Data Analysis Application Integration Architecture Cloud Computing Continuous Integration Custom Software Customer Data Management Data Architecture Extract Transform Load (ETL) Data Migration

+18 more

DevOps Documentum Enterprise Content Management Cloud Services Salesforce.Com Simple Object Access Protocol (SOAP) Enterprise Data Management Apex Code Enterprise Software Applications Generative AI Git Event Driven Architecture Enterprise Integration Integration Frameworks Salesforce Object Query Language (SOQL) Virtual Agents Api Design Mulesoft

Job description

We are seeking a highly skilled Salesforce Tech Lead to join the Salesforce IT team. This role spans Salesforce engineering, enterprise integration, and data architecture, with a strong emphasis on AI-augmented software delivery. The ideal candidate brings deep Salesforce expertise, leads technical design, and actively leverages Generative AI and Agentic AI tools to accelerate delivery in an agile environment., * Lead Salesforce solution design across Sales, Service, Experience Cloud, and custom applications

Define architecture standards, enforce coding best practices, and drive CI/CD using Salesforce DX and Git
Conduct code and architecture reviews to ensure scalable, secure, and high-quality delivery
Design and implement MuleSoft-based integrations with enterprise systems and event-driven architectures
Lead API development (REST/SOAP), Platform Events, and cross-system workflow orchestration
Own Salesforce data architecture, including modeling, governance, and multi-system data migration programs
Collaborate with Enterprise Data and Integration teams to ensure data consistency, quality, and lineage
Leverage Generative AI and Agentic AI tools to accelerate development, testing, and documentation
Integrate Salesforce AI capabilities (Einstein, Agentforce, GenAI flows) into business processes
Ensure compliance with security, governance, and regulatory standards (including utility-sector requirements)
Partner with Product Owners and BA teams to refine requirements and user stories
Lead and mentor distributed Salesforce development teams in an Agile environment

Requirements

5+ years of Salesforce development experience with technical leadership exposure
Strong expertise in Apex, LWC, Flows, SOQL/SOSL, and Salesforce platform architecture
Hands-on experience with MuleSoft or equivalent integration platforms
Proven experience in data migration, ETL, and reconciliation programs
Strong knowledge of Salesforce DX, Git, CI/CD, and DevOps practices
Active use of Generative AI / Agentic AI tools in software delivery
Experience with Service Cloud, Experience Cloud, and workflow automation
Salesforce certification: Platform Developer II (required)
Preferred: Integration Architecture Designer / Data Architecture Designer, * Experience in utilities, energy, or regulated industries
Familiarity with Salesforce Data Cloud, Einstein Analytics, or Agentforce
Experience with Agentic AI tools (Windsurf, Devin, or similar)
Exposure to Documentum, Excalibur, or enterprise content systems
MuleSoft certifications
Experience working in multi-vendor offshore/nearshore delivery models