• Design, build, and maintain scalable data pipelines, ETL processes, integrations, and APIs between Salesforce and external systems. • Optimize data ingestion, transformation, and processing in alignment with Salesforce data architecture best practices. • Define and implement strategies for data storage, normalization, and performance optimization across multiple Salesforce instances. • Lead data modeling efforts across Salesforce Clouds, including Public Sector Cloud, Service Cloud, and Experience Cloud. • Oversee data migration, deduplication, and cleansing initiatives to maintain data consistency, accuracy, and integrity. • Design and deploy AI-powered agents that leverage Salesforce data for decision support, customer service automation, and workflow enhancement. • Partner with AI/ML teams to integrate predictive models and generative AI solutions (e.g., Einstein GPT, LLM-based assistants) into Salesforce environments. • Coordinate and implement data governance frameworks and best practices focused on Salesforce data ecosystems. • Collaborate with product owners, business units, and stakeholders to align data governance strategies with organizational objectives. • Support the development and enforcement of data standards, naming conventions, stewardship models, business glossaries, data dictionaries, and metadata management for key Salesforce assets. • Provide documentation