Responsibilities:

\nPlatform Architecture & Customization\nDefine and govern enterprise Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, and custom platform applications — ensuring scalability, security, multi-org coherence, and long-term maintainability\nLead complex Salesforce customization efforts including Apex frameworks, LWC component libraries, advanced Flow orchestration, and platform event-driven architecture\nEstablish and enforce coding standards, design patterns, DevOps best practices, and CI/CD pipelines via Salesforce DX, Git, and release management tooling\nDrive architecture reviews, technical grooming, and platform health assessments across delivery teams and vendor partners\nOwn the Salesforce platform roadmap and align it to Client's IT strategic goals, operational priorities, and AI-enabled delivery models\nIntegration Engineering\nArchitect and govern end-to-end integrations connecting Salesforce to enterprise systems including MuleSoft, Documentum, Excalibur, SAP, GIS/ESRI, and legacy platforms\nDefine integration contracts, error handling frameworks, retry/resilience patterns, and middleware orchestration strategies for real-time and batch integration scenarios\nLead integration solutioning for complex, multi-system workflows spanning case management, document handling, and regulated utility operations\nCollaborate with MuleSoft Architects to evaluate, design, and harden integration layers supporting mission-critical business processes\nGuide

REST/SOAP API

design, Platform Events, Change Data Capture (CDC), and event-driven patterns across multi-vendor delivery teams\nData Engineering\nOwn and drive Salesforce data architecture including data modeling, object relationships, schema governance, and master data management across multi-org environments\nLead data migration strategies from legacy platforms (e.g., Microsoft Dynamics) to Salesforce — including transformation logic, validation frameworks, reconciliation protocols, and cutover planning\nPartner with the Enterprise Data Platform (EDP) and Salesforce Data Cloud teams to design scalable data pipelines, harmonize data structures, and ensure enterprise-wide data integrity\nDefine and enforce data quality rules, deduplication strategies, and audit-ready data lineage standards aligned with NERC and utility-sector compliance requirements\nEvaluate and guide adoption decisions between custom EDP approaches and Salesforce Data Cloud, presenting trade-offs with executive-level clarity\nGenerative AI & Agentic AI Delivery\nLeverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for solution design, accelerated story creation, code generation, test automation, and technical documentation\nApply and champion prompt engineering best practices — iterative prompting, session scoping, output peer review, and token management — ensuring AI output quality and delivery completeness\nArchitect and integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and enterprise automation workflows\nLead AI-augmented SDLC practices at the platform level, establishing guardrails, quality gates, and responsible AI usage standards for the broader delivery team\nDrive and measure AI efficiency benchmarks including development velocity gains, BA/QA effort reduction, sprint throughput improvements, and labor cost optimization\nContribute to Client's AI-first delivery strategy, including adoption of REWIRE and Agentic AI tooling across the 2026-2028 Salesforce roadmap\nGovernance, Security & Compliance\nOwn platform governance protocols including user access management, permission sets, profiles, inactive account monitoring, and org health standards\nEnsure all solutions adhere to NERC compliance, utility-sector regulatory standards, and audit-ready documentation requirements\nLead security architecture reviews, vulnerability assessments, and AppExchange product governance across Client's Salesforce orgs\nEstablish release management protocols, change control governance, and technical debt reduction programs aligned with platform long-term health\nCollaboration & Delivery Leadership\nPartner with business, product, and IT leadership to translate complex requirements into scalable, compliant, and high-impact Salesforce solutions with measurable business value\nWork closely with Business Analysts and Product Owners to shape epics, user stories, and acceptance criteria — leveraging AI tooling to accelerate story creation by ~50% and reduce BA/QA effort by 40-60%\nLead, mentor, and develop Salesforce Tech Leads and developers across onshore and offshore delivery models, providing technical direction and removing delivery impediments\nServe as the primary technical voice in Agile ceremonies — sprint planning, architecture reviews, backlog grooming, and retrospectives — driving engineering quality and delivery accountability\nCoordinate with QA leads to define test strategies, support SIT/UAT, and sustain defect counts below the 5% threshold across platform releases\n

Requirements:

\n8+ years of hands-on Salesforce experience with a minimum of 3 years in a Salesforce Architect capacity\nExpert-level proficiency in Apex, LWC, Flows, SOQL/SOSL, platform events, and Salesforce platform internals\nProven expertise in enterprise integration architecture using MuleSoft or equivalent middleware (REST/SOAP APIs, event-driven architecture, middleware patterns)\nStrong data engineering background including data modeling, ETL/ELT design, large-scale migrations, and data quality governance\nDemonstrated daily use of Generative AI and Agentic AI tools in a software delivery context with measurable productivity outcomes\nHands-on experience with Salesforce DX, Git, CI/CD pipelines, and multi-org DevOps tooling\nSalesforce Architect certifications: Application Architect or System Architect (required); Certified Technical Architect (CTA) preferred\nIntegration Architecture Designer and Data Architecture Designer certifications strongly preferred\nExperience in regulated utility, energy, or infrastructure sectors with working knowledge of NERC compliance and audit requirements\nFamiliarity with Salesforce Data Cloud, Einstein Analytics, Agentforce, and Field Service Lightning\nHands-on experience with Windsurf, Devin, or similar Agentic AI coding and delivery platforms\nKnowledge of Documentum, Excalibur, or enterprise content management systems\nBackground in multi-vendor offshore/nearshore delivery models and vendor governance\nMuleSoft Certified Architect or Integration Professional certification\nFamiliarity with

GIS/ESRI

integrations or geospatial data platforms in a utility context\n

Years of Experience:

12.00 Years of Experience\n

Skills:

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