* Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience. * Experience in the Wealth Management or Financial Services field preferred. * Experience with Data Engineering (specifically in Python) preferred. * Minimum of 5 years of experience in Salesforce development with a proven track record of complex project execution. * In-depth knowledge of the Salesforce development lifecycle, including SDLC, Agile, and SCRUM methodologies. * Strong experience with Apex, Visualforce, Lightning components, and Salesforce APIs. Proven ability to develop custom solutions and integrations within the Salesforce platform. * Proficient in Salesforce administration, including User, Role, Profile management, Workflows, Page Layouts, Validation Rules, and Security configurations. * Experience with Salesforce Sandbox administration and deployment management. * Experience with Salesforce Einstein tools (Einstein Prediction Builder, Einstein Discovery, Einstein Activity Capture, Einstein Bots) or Agentforce strongly preferred. * Familiarity with AI/ML concepts such as predictive modeling, natural language processing, and recommendation systems, and how they apply within CRM environments. * Experience integrating third-party AI or generative AI services (e.g., large language model APIs) into Salesforce workflows is a plus. * Understanding of responsible AI principles, including data privacy, bias mitigation, and regulatory compliance considerations relevant to financial services.