Senior Salesforce Tech Lead – AI-Driven Integrations & Data
techdigital groupOklahoma City, OK
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 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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Level
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