Architect - GENART

Title: Salesforce Tech Lead
Location: Onsite (5 days a week) in Juno Beach, FL or Houston, TX
Rate: ####/HR

PLEASE ENTER CANDIDATE'S LOCATION IN THE SUPPLIER NOTES. IN ADDITION, CONFIRM THAT THE CANDIDATE IS WILLING TO ATTEND IN-PERSON INTERVIEWS.

There will be 3 interviews.
1. 1 Internal screening will be conducted virtually before scheduling the client interview.
2. 2 client interviews will be conducted face-to-face at either the Juno Beach or Houston locations. Every candidate will participate in two rounds of interviews, both held in person at the specified offices.

Key Responsibilities

Technical Leadership & Architecture
Lead end-to-end Salesforce solution design across Sales Cloud, Service Cloud, Experience Cloud, and custom platform applications, ensuring scalability, security, and governance
Define and enforce coding standards, design patterns, and DevOps best practices (CI/CD via Salesforce DX, Git, and pipeline tooling)
Conduct architecture reviews, code reviews, and technical grooming sessions to maintain platform health and delivery quality
Partner with the Salesforce Architect on platform strategy, org health, and long-term roadmap alignment

Integration Engineering
Design and implement MuleSoft-based integrations connecting Salesforce to enterprise systems including Documentum, Excalibur, SAP, and legacy platforms
Build and maintain REST/SOAP APIs, Platform Events, CDC (Change Data Capture), and middleware orchestration patterns for real-time and batch integration scenarios
Lead integration solutioning for complex, multi-system workflows involving case management, document handling, and regulated utility operations
Collaborate with MuleSoft Architects to define integration contracts, error handling frameworks, and retry/resilience patterns

Data Engineering
Own and drive Salesforce data architecture including data modeling, object relationships, and schema governance across multi-org environments
Lead data migration efforts from legacy platforms (e.g., Microsoft Dynamics) to Salesforce, including transformation logic, data validation, reconciliation, and cutover planning
Work with the Enterprise Data Platform (EDP) and Data Cloud teams to design scalable data pipelines, harmonize data structures, and ensure data integrity across systems
Define and implement data quality rules, deduplication strategies, and audit-ready data lineage aligned with compliance and regulatory requirements

Generative AI & Agentic AI Delivery
Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for accelerated story creation, code generation, test automation, and design documentation
Apply prompt engineering best practices iterative prompting, session scoping, peer review gates to ensure AI output quality and story completeness
Integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and automation workflows
Champion AI-augmented SDLC practices within the team, mentoring developers on responsible AI usage, code smell detection, and token management
Contribute to measurable AI efficiency benchmarks including development velocity gains, BA/QA effort reduction, and sprint throughput improvements

Governance, Security & Compliance
Enforce Salesforce platform governance including user access management, permission sets, profiles, and inactive account monitoring
Ensure solutions adhere to NERC, utility-sector compliance standards, and audit-ready documentation requirements
Support security reviews, vulnerability assessments, and AppExchange product governance

Collaboration & Delivery
Work closely with the Business Analyst/Product Owner to refine epics, user stories, and acceptance criteria leveraging AI tooling to accelerate story creation by ~50%
Lead and mentor a team of Salesforce developers (onshore and offshore), providing day-to-day technical direction and unblocking delivery impediments
Participate in Agile ceremonies sprint planning, backlog grooming, retrospectives as a key technical voice
Coordinate with QA leads to define test strategies, support SIT/UAT, and drive defect resolution below the 5% threshold
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Required Qualifications
5+ years of hands-on Salesforce development experience with demonstrated technical leadership
Deep expertise in Apex, LWC, Flows, SOQL/SOSL, and Salesforce platform internals
Strong experience with MuleSoft or equivalent integration platforms (REST APIs, event-driven architecture, middleware patterns)
Proven track record in data migration projects ETL design, transformation logic, reconciliation, and cutover execution
Hands-on experience with Salesforce DX, Git, CI/CD pipelines, and DevOps tooling
Active daily use of Generative AI and/or Agentic AI tools in a software delivery context
Experience in Experience Cloud / Community portals, Service Cloud case management, and workflow automation
Salesforce certifications: Platform Developer II (required); Integration Architecture Designer or Data Architecture Designer (strongly preferred)
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Preferred Qualifications
Experience in regulated utility, energy, or infrastructure sectors with awareness of compliance and audit requirements
Familiarity with Salesforce Data Cloud, Einstein Analytics, or Agentforce
Hands-on experience with Windsurf, Devin, or similar Agentic AI coding platforms
Knowledge of Documentum, Excalibur, or enterprise content management systems
Background in multi-vendor offshore/nearshore delivery models
MuleSoft Certified Developer or Integration Associate certification
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