Salesforce Data Cloud Solution Architect

Salesforce Data Cloud Solution Architect Join to apply for the Salesforce Data Cloud Solution Architect role at NeuraFlash , a leading AI innovation partner of Accenture. At NeuraFlash, part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. Responsibilities Lead discovery & architecture of customer data strategies, ensuring alignment between business goals, data models, and AI‑driven use cases Assess existing data ecosystems, including legacy data warehouses, cloud platforms, and integrations, to define the optimal Data Cloud architecture and migration strategy Design scalable and secure data architectures on Salesforce Data Cloud—defining DLOs, DMOs, identity resolution strategies, and real‑time data activation patterns Develop enterprise‑level solution blueprints, integration frameworks, and reference architectures that align with Salesforce and NeuraFlash, part of Accenture best practices Collaborate cross‑functionally with data engineers, architects, product managers, and Salesforce technical teams to ensure seamless delivery Serve as a trusted advisor to both customers and Salesforce teams—demonstrating how Data Cloud unlocks value across Service, Marketing, and AgentForce use cases Architect and oversee integrations between Salesforce Data Cloud, MuleSoft, Snowflake, and other enterprise systems using real‑time and batch patterns Own pre‑sales architecture in partnership with account executives—build solution demos, estimates, and presentations that articulate the business value of Data Cloud Evangelize the Salesforce Data Cloud vision, including modern data activation, zero‑copy architecture, and industry‑specific applications Explore and implement emerging AI capabilities, including GPT & LLM‑driven use cases powered by unified customer data Qualifications 8+ years of overall experience in technology consulting, data strategy, or enterprise architecture 3+ years hands‑on experience in Salesforce ecosystems with deep understanding of Data Cloud, including DLO/DMO design, ingestion, and activation Proven track record leading end‑to‑end data architecture and implementation—from discovery and design through deployment and enablement Experience with modern data platforms such as Snowflake, Databricks, BigQuery, or Redshift Strong understanding of data modeling, identity resolution, governance, and segmentation Understanding of MuleSoft, API design, and integration patterns Familiarity with data visualization and analytics tools (Tableau, Looker, Power BI) Proficiency in Python, SQL, or data frameworks (pandas, Spark, DataFrames) is a plus Salesforce Data Cloud Consultant or Architect certifications preferred Excellent communication and executive presentation skills, capable of translating complex data concepts into clear business value Benefits Remote & In‑Person work: choose to work from our HQ in Massachusetts, a regional hub, or remotely—focusing on staying connected and unified. Travel: up to 25% travel commitment for certain roles, offering a chance to explore new places while impacting clients. Flexibility: Trust‑based culture accommodating life events without strict 9‑5 hours. Collaboration: Voice and feedback valued; executive team holds town halls & meetings to address suggestions. Celebrate Often: Team events such as contests, costume parties, and holiday sweaters to celebrate successes. Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Software Development Referrals increase your chances of interviewing at NeuraFlash by 2x #J-18808-Ljbffr