Enterprise Customer Relationship Management (CRM) systems such as Salesforce are critical to modern business operations, especially in large-scale organizations that require agility, scalability, and efficiency. As these systems evolve, performance optimization becomes increasingly complex, requiring intelligent automation strategies that align with both operational and environmental sustainability goals. This paper presents a comprehensive framework for leveraging Salesforce metadata-driven automation to enhance CRM performance while embedding sustainable development principles into the architecture and deployment lifecycle. The study explores the dynamic capabilities of metadata for configuring, customizing, and maintaining CRM environments, thereby reducing manual intervention, minimizing resource waste, and promoting reusability. Through the integration of DevOps, automation pipelines, and governance strategies, the proposed approach ensures continuous optimization with minimal overhead. Empirical evaluation from real-world case studies demonstrates measurable improvements in system responsiveness, administrative efficiency, and sustainability metrics. This research contributes to the evolving discourse on sustainable software engineering by showcasing how metadata-driven platforms like Salesforce can be harnessed not only for business excellence but also for long-term ecological impact reduction.