Senior Salesforce Technical Lead || Min 10+ Years of Exp. Required || G.C / U.S.C
12+Months
W2 :: Phoenix AZ (Onsite)
**Role Overview:**
We are seeking an experienced Senior Salesforce Technical Lead with a proven track record (10+ years) of architecting, building, and optimizing Salesforce-based solutions. This leadership role requires expertise in both hands-on development and guiding teams in the delivery of robust, high-performance Salesforce applications. The ideal candidate will utilize advanced platform features, AI enhancements (Salesforce Einstein, Copilot, generative AI), and best-in-class development practices to accelerate business transformation and process automation.
**Key Responsibilities:**
- Architect and implement complex Salesforce solutions utilizing Apex, Lightning Components (LWC/Aura), and platform tools.
- Develop and promote reusable modules, frameworks, and standardized programming paradigms.
- Integrate Salesforce with external platforms using REST/SOAP APIs, middleware platforms, and message queues.
- Apply deep knowledge of Salesforce architecture, including object/data model design, security and sharing, and automation tools.
- Employ a mix of declarative (Flows, Process Builder, Validation Rules) and programmatic (Apex, Visualforce) approaches for optimal solutions.
- Harness Salesforce’s AI and automation features (such as Einstein and Copilot) to deliver intelligent, efficient business processes.
- Champion coding excellence, documentation, code reviews, refactoring practices, and technical debt reduction.
- Serve as a technical authority, providing mentorship and guidance to development teams with limited oversight.
- Operate within Agile development environments, support sprint planning, backlog refinement, and cross-functional collaboration.
- Oversee release management and deployment using modern CI/CD pipelines (Git, Jenkins, Salesforce DX, etc.).
**Desired Outcomes:**
- Delivery of stable, extensible, and scalable Salesforce systems following architectural and security standards.
- Increased productivity and value derived from leveraging AI and automation capabilities within solutions.
- High reliability and maintainability of system integrations through careful design and monitoring.
- Improved SDLC efficiency by fostering the use of standard components and streamlined workflows.
- Strong alignment with stakeholders and business units, minimizing defects and iterative rework.