Salesforce Technical Architect

• Architect and govern end-to-end integrations connecting Salesforce to enterprise systems including MuleSoft, Documentum, Excalibur, SAP, GIS/ESRI, and legacy platforms
• Define integration contracts, error handling frameworks, retry/resilience patterns, and middleware orchestration strategies for real-time and batch integration scenarios
• Lead integration solutioning for complex, multi-system workflows spanning case management, document handling, and regulated utility operations
• Collaborate with MuleSoft Architects to evaluate, design, and harden integration layers supporting mission-critical business processes
• Guide REST/SOAP API design, Platform Events, Change Data Capture (CDC), and event-driven patterns across multi-vendor delivery teams

• Data Engineering *

• Own and drive Salesforce data architecture including data modeling, object relationships, schema governance, and master data management across multi-org environments
• Lead data migration strategies from legacy platforms (e.g., Microsoft Dynamics) to Salesforce - including transformation logic, validation frameworks, reconciliation protocols, and cutover planning
• Partner 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
• Define and enforce data quality rules, deduplication strategies, and audit-ready data lineage standards aligned with NERC and utility-sector compliance requirements
• Evaluate and guide adoption decisions between custom EDP approaches and Salesforce Data Cloud, presenting trade-offs with executive-level clarity

Generative AI & Agentic AI Delivery

• Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for solution design, accelerated story creation, code generation, test automation, and technical documentation
• Apply and champion prompt engineering best practices - iterative prompting, session scoping, output peer review, and token management - ensuring AI output quality and delivery completeness
• Architect and integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and enterprise automation workflows
• Lead AI-augmented SDLC practices at the platform level, establishing guardrails, quality gates, and responsible AI usage standards for the broader delivery team
• Drive and measure AI efficiency benchmarks including development velocity gains, BA/QA effort reduction, sprint throughput improvements, and labor cost optimization
• Contribute to NEER’s AI-first delivery strategy, including adoption of REWIRE and Agentic AI tooling across the 2026-2028 Salesforce roadmap
• Governance, Security & Compliance
• Own platform governance protocols including user access management, permission sets, profiles, inactive account monitoring, and org health standards
• Ensure all solutions adhere to NERC compliance, utility-sector regulatory standards, and audit-ready documentation requirements
• Lead security architecture reviews, vulnerability assessments, and AppExchange product governance across NEER Salesforce orgs
• Establish release management protocols, change control governance, and technical debt reduction programs aligned with platform long-term health

Collaboration & Delivery Leadership

• Partner with business, product, and IT leadership to translate complex requirements into scalable, compliant, and high-impact Salesforce solutions with measurable business value
• Work 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%
• Lead, mentor, and develop Salesforce Tech Leads and developers across onshore and offshore delivery models, providing technical direction and removing delivery impediments
• Serve as the primary technical voice in Agile ceremonies - sprint planning, architecture reviews, backlog grooming, and retrospectives - driving engineering quality and delivery accountability
• Coordinate with QA leads to define test strategies, support SIT/UAT, and sustain defect counts below the 5% threshold across platform releases

• 8+ years of hands-on Salesforce experience with a minimum of 3 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 with working knowledge of NERC compliance and audit requirements
• Familiarity with Salesforce Data Cloud, Einstein Analytics, Agentforce, and Field Service Lightning
• Hands-on experience with Windsurf, Devin, or similar Agentic AI coding and delivery platforms
• Knowledge of Documentum, Excalibur, or enterprise content management systems
• Background in multi-vendor offshore/nearshore delivery models and vendor governance
• MuleSoft Certified Architect or Integration Professional certification
• Familiarity with GIS/ESRI integrations or geospatial data platforms in a utility context