Salesforce Tech Lead

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.

• 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 Dev Ops 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

• Design and implement Mule Soft‑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 Mule Soft Architects to define integration contracts, error handling frameworks, and retry/resilience patterns

• 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

• 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

• 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 App Exchange product governance

• 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
• Coordi…