NeuraFlash

NeuraFlash

NeuraFlash specializes in providing custom AI business solutions by integrating Salesforce's Success Platform with artificial intelligence and machine learning, enhancing customer experiences through consulting, UX design, and implementation services a...

IT Services
251-1K
Founded 2016

Description

  • Lead discovery and architecture of customer data strategies aligned to business goals, data models, and AI use cases.
  • Assess existing data ecosystems, including legacy warehouses, cloud platforms, and integrations, to define Data Cloud architecture and migration strategy.
  • Design scalable and secure Salesforce Data Cloud architectures, including DLOs, DMOs, identity resolution, and real-time activation patterns.
  • Develop enterprise solution blueprints, integration frameworks, and reference architectures aligned with Salesforce and NeuraFlash best practices.
  • Collaborate with data engineers, architects, product managers, and Salesforce technical teams to deliver solutions.
  • Advise customers and Salesforce teams on how Data Cloud supports 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 activities with account executives, including solution demos, estimates, and presentations.
  • 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- and LLM-driven use cases powered by unified customer data.

Requirements

  • 8+ years of experience in technology consulting, data strategy, or enterprise architecture.
  • 3+ years of hands-on experience in Salesforce ecosystems with deep Data Cloud knowledge, including DLO/DMO design, ingestion, and activation.
  • Proven experience 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 such as Tableau, Looker, or Power BI.
  • Proficiency in Python, SQL, or data frameworks such as pandas, Spark, or DataFrames is a plus.
  • Salesforce Data Cloud Consultant or Architect certifications preferred.
  • Excellent communication and executive presentation skills, with the ability to translate complex data concepts into business value.

Benefits

  • Remote and in-person work options, including a distributed team and regional hubs.
  • Flexible work culture that supports non-traditional schedules when needed.
  • Travel opportunities for certain roles, with an anticipated commitment of up to 25%.
  • Competitive salary range, depending on location and experience.
  • Strong team collaboration culture with executive town halls and company meetings.
  • Regular team celebrations and social events.

Interested in this position?

Apply directly on the company website

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