Salesforce Tech Lead

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

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

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 AppExchange 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

Coordinate with QA leads to define test strategies, support SIT/UAT, and drive defect resolution below the 5% threshold

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)

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