About the role We are seeking a seasoned and forward-thinking Salesforce Architect to join our key client's Salesforce team. This role sits at the highest level of platform strategy and technical governance - spanning enterprise customization, integration architecture, data engineering, and AI-augmented delivery. The ideal candidate combines deep platform expertise with the ability to lead cross-functional teams, shape long-term architecture direction, and embed Generative AI and Agentic AI methodologies as a first-class practice in their daily engineering workflow. Location - Bulgaria, Romania, Poland, Brazil, Argentina (remote) Responsibilities Define and govern enterprise Salesforce architecture across Sales, Service, Experience Cloud, and custom applications, ensuring scalability, security, and maintainability Lead advanced Salesforce customization using Apex, LWC, Flow, Platform Events, and event-driven architecture Establish engineering standards, design patterns, DevOps practices, CI/CD pipelines, and release management processes Architect and govern integrations between Salesforce and MuleSoft, SAP, Documentum, Excalibur, GIS/ESRI, and legacy systems Own Salesforce data architecture, migrations, data modeling, governance, quality, and integration with Enterprise Data Platform and Data Cloud Architect and integrate Einstein AI, Agentforce, GenAI-enabled flows, and Agentic AI tools into Salesforce solutions and delivery processes Drive AI-augmented SDLC practices, establishing quality standards and measuring improvements in delivery efficiency and productivity Ensure platform governance, security, regulatory compliance, audit readiness, and long-term platform health Partner with business, product, and IT stakeholders to translate complex requirements into scalable Salesforce solutions Provide technical leadership and mentoring across onshore and offshore teams, supporting Agile delivery, testing, and overall engineering quality Requirements 8+ years of hands-on Salesforce experience with a minimum of 4 years in a Salesforce Architect capacity Expert-level proficiency in Apex, LWC, Flows, SOQL/SOSL, platform events, and Salesforce platform internals Proven expertise in enterprise integration architecture using MuleSoft or equivalent middleware (REST/SOAP APIs, event-driven architecture, middleware patterns) Strong data engineering background including data modeling, ETL/ELT design, large-scale migrations, and data quality governance Demonstrated daily use of Generative AI and Agentic AI tools in a software delivery context with measurable productivity outcomes Hands-on experience with Salesforce DX, Git, CI/CD pipelines, and multi-org DevOps tooling Salesforce Architect certifications: Application Architect or System Architect (required); Certified Technical Architect (CTA) preferred Integration Architecture Designer and Data Architecture Designer certifications strongly preferred Experience in regulated utility, energy, or infrastructure sectors, including NERC compliance and audit requirements, would be advantageous Familiarity with Salesforce Data Cloud, Einstein Analytics, Agentforce, and Field Service Lightning is highly valued Hands-on experience with Windsurf, Devin, or similar Agentic AI platforms would be beneficial. Knowledge of Documentum, Excalibur, or other enterprise content management systems is an added advantage
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