• Provide industry best practices and serve as a trusted client advisor on customer data strategy and AI. • Drive requirement gathering and serve as the Salesforce Data 360 platform expert. • Lead discovery and architecture of customer data strategies, ensuring alignment between business goals, data models, and AI-driven use cases. • Assess existing data ecosystems to define the optimal Data 360 architecture and migration strategy. • Design scalable, secure data architectures. • Work with clients to build out their strategy and roadmap. • Tie outcomes to business value (return on investment) through storytelling. • Coach and mentor junior team members and follow new Salesforce product and technical capabilities.

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data. • Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies. • Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes. • Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices. • Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions. • Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment. • Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns. • Establish DevOps, source control, and CI/CD practices for data and AI solutions. • Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.

• Provide industry best practices and serve as a trusted client advisor on customer data strategy and AI. • Drive requirement gathering and serve as the Salesforce Data 360 platform expert. • Lead discovery and architecture of customer data strategies, ensuring alignment between business goals, data models, and AI-driven use cases. • Assess existing data ecosystems—legacy data warehouses, cloud platforms, and integrations—to define the optimal Data 360 architecture and migration strategy. • Design scalable, secure data architectures—defining DLOs, DMOs, identity resolution strategies, and real-time data activation patterns. • Work with clients to build out their strategy and roadmap, enabling both quick wins and longer-term strategic goals. • Demonstrate how Data 360 unlocks value across NeuraFlash's Solution Groups including Revenue, Service, Field Service, Digital Experiences, Marketing, and Agentforce use cases. • Translate business requirements into well-architected solutions and provide input on detailed design specifications and project plans. • Tie outcomes to business value (return on investment) through storytelling. • Coach and mentor junior technical and functional team members, and follow new Salesforce product and technical capabilities.

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data. • Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies. • Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes. • Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices. • Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions. • Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment. • Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns. • Establish DevOps, source control, and CI/CD practices for data and AI solutions. • Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.