Salesforce Architect

• 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

• 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

For applications and inquiries, contact:hirings@openkyber.com