Salesforce Technical Architect (Software Engineer IV)

DescriptionRobert Half and Protiviti operate one of the most advanced Salesforce ecosystems in professional services. We don't simply administer Salesforce—we leverage it as a core component of a hybrid cloud architecture connecting Sales Cloud, Azure, and enterprise platforms at scale. We are seeking a Salesforce Technical Architect to own the platform end-to-end and lead a distributed team of 10+ engineers across the U.S. and India. This is a hands-on architecture leadership role responsible for technical strategy, engineering standards, and key platform decisions. You will also lead major initiatives including Salesforce Data 360 (CDP), Agentforce expansion, and AI-enabled data and automation capabilities. What You'll Do Architecture & Platform Leadership Define when to leverage native Salesforce capabilities versus Azure-based Node.js or Python services. Design and oversee scalable integrations between Salesforce and internal or third-party systems using event-driven and near real-time architectures. Lead the implementation and evolution of Salesforce Data 360, Agentforce, and AI-powered data pipelines. Develop secure, scalable architectural patterns that support growth while maintaining governance and platform integrity. Proactively manage platform health using Salesforce Health Check and Optimizer. Engineering Governance & Quality Serve as the final authority for architecture reviews and technical design decisions. Establish engineering standards for a global development organization. Embed security, testing, and compliance throughout the SDLC. Implement automated quality gates including code reviews, testing, and security scanning. Enable teams to move quickly through strong frameworks, tooling, and automation. CI/CD & Automation Advance Python-driven CI/CD pipelines and support reliable deployments. Automate key SDLC processes including testing, security review, and release management. Drive a culture of continuous delivery and engineering excellence. Team Leadership & Delivery Mentor and lead senior and entry level engineers across multiple locations. Guide development of scalable Salesforce solutions using Apex, LWC, Flows, and platform capabilities. Design and support APIs, integrations, and automation solutions using Azure, Node.js, Python, and cloud-native services. Build and manage enterprise data pipelines supporting Salesforce and Data 360. Define integration standards and data contracts across enterprise platforms. Lead expansion of Agentforce capabilities and AI-powered employee experiences. Drive adoption of Einstein Copilot, predictive analytics, and generative AI within marketing and sales workflows. Partner with product, business, and data teams to deliver scalable solutions and technical direction.Requirements10+ years of software engineering experience with significant Salesforce architecture expertise. Deep experience with Sales Cloud, Data Cloud/Data 360, Experience Cloud, Service Cloud, and Marketing Cloud or similar platforms. Expert knowledge of Apex, LWC, Metadata API, and highly customized Salesforce environments. Experience building off-platform solutions in Azure using Node.js and/or Python. Strong understanding of Git, Salesforce CLI, CI/CD pipelines, and modern SDLC practices. Experience with relational databases, REST/SOAP APIs, event-driven architectures, and asynchronous messaging. Familiarity with Salesforce Data 360, Agentforce, AI-enabled workflows, and emerging agentic technologies. BS/MS in Computer Science, Engineering, or a related technical field. Ideal Candidate You view Salesforce as part of a broader enterprise architecture, not the entire solution. You know when to leverage native capabilities and when custom cloud services provide greater value. You are passionate about automation, engineering excellence, scalable design, and solving complex problems while leading high-performing teams.Job typePerm