Senior Salesforce Tech Lead – AI-Driven Integrations & Data

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 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

Integration Engineering

• 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

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 App Exchange 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),…