Salesforce Data Cloud Solution Architect

OverviewSalesforce Data Cloud Solution Architect at NeuraFlash. Lead discovery and architecture of customer data strategies, align business goals with data models and AI-driven use cases, and design scalable data architectures on Salesforce Data Cloud.ResponsibilitiesLead discovery & architecture of customer data strategies, ensuring alignment between business goals, data models, and AI-driven use casesAssess existing data ecosystems, including legacy data warehouses, cloud platforms, and integrations, to define the optimal Data Cloud architecture and migration strategyDesign scalable and secure data architectures on Salesforce Data Cloud—defining DLOs, DMOs, identity resolution strategies, and real-time data activation patternsDevelop enterprise-level solution blueprints, integration frameworks, and reference architectures that align with Salesforce and NeuraFlash best practicesCollaborate cross-functionally with data engineers, architects, product managers, and Salesforce technical teams to ensure seamless deliveryServe as a trusted advisor to both customers and Salesforce teams—demonstrating how Data Cloud unlocks value across Service, Marketing, and AgentForce use casesArchitect and oversee integrations between Salesforce Data Cloud, MuleSoft, Snowflake, and other enterprise systems using real-time and batch patternsOwn pre-sales architecture in partnership with account executives—build solution demos, estimates, and presentations that articulate the business value of Data CloudEvangelize the Salesforce Data Cloud vision, including modern data activation, zero-copy architecture, and industry-specific applicationsExplore and implement emerging AI capabilities, including GPT & LLM-driven use cases powered by unified customer dataQualifications8+ years of overall experience in technology consulting, data strategy, or enterprise architecture3+ years hands-on experience in Salesforce ecosystems with deep understanding of Data Cloud, including DLO/DMO design, ingestion, and activationProven track record leading end-to-end data architecture and implementation—from discovery and design through deployment and enablementExperience with modern data platforms such as Snowflake, Databricks, BigQuery, or RedshiftStrong understanding of data modeling, identity resolution, governance, and segmentationUnderstanding of MuleSoft, API design, and integration patternsFamiliarity with data visualization and analytics tools (Tableau, Looker, Power BI)Proficiency in Python, SQL, or data frameworks (pandas, Spark, DataFrames) is a plusSalesforce Data Cloud Consultant or Architect certifications preferredExcellent communication and executive presentation skills, capable of translating complex data concepts into clear business valueWhat it’s like to be part of NeuraFlashRemote & In-Person: Work from our HQ in Massachusetts, regional hubs, or remotely. We aim to keep everyone connected as one team.Travel: Up to 25% travel may be required for certain roles.Flexibility: We value trust and outcome over hours; flexibility to handle personal commitments is supported.Collaboration: You’ll have a voice; leadership hosts town halls and open forums for feedback.Celebration: We celebrate successes together with team activities and events.Location flexibilityLocation options include office-based in the United States or remote locations within the United States, Canada (Alberta, British Columbia, Ontario), India, or Colombia.Job detailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Software Development #J-18808-Ljbffr