Technical Lead - ML Engineering

Responsibilities:

• Architecture & Solution Design a.
• Define scalable, secure, and extensible Salesforce architecture aligned with enterprise standards.
• Lead multi-cloud implementations across Sales Cloud, Service Cloud, Experience Cloud, and Revenue Cloud.
• Design enterprise-grade integration patterns using APIs, middleware, event-driven architecture, and real-time/batch integrations.
• Establish architectural guardrails, design standards, and reusable frameworks.
• Enterprise Integration a.
• Architect integrations with ERP, CPQ, billing, marketing automation, identity providers, and third-party systems.
• Design REST/SOAP APIs, Platform Events, CDC, External Services, and MuleSoft-based integrations.
• Implement data synchronization strategies, large data volume handling, and performance optimization.
• Define error handling, monitoring, and logging mechanisms for integrations.
• Technical Leadership a.
• Provide hands-on guidance on Apex, LWC, Flows, Integration patterns, and DevOps.
• Lead code reviews, architectural reviews, and technical governance.
• Drive CI/CD implementation using modern DevOps tools and SFDX-based development.
• Mentor technical teams and enforce best practices for quality and scalability.
• Security & Compliance a.
• Design role hierarchy, sharing models, and data security frameworks.
• Implement OAuth, SSO, JWT, Named Credentials, and external authentication models.
• Ensure compliance with enterprise security and data governance standards.