Salesforce Data Cloud Solution Architect

NeuraFlash

78d

About The Position

At NeuraFlash, 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. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash is the place for you.

Requirements

• 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

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 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

Benefits

• Remote & In-Person work options
• Travel commitment of up to 25%
• Flexible working hours
• Collaborative work environment with open communication
• Regular celebrations and team-building activities
• Location flexibility for remote work

What This Job Offers

• Number of Employees: 251-500 employees