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 and own end-to-end technical solution design across Salesforce Data 360 and Agentforce.
  • Design scalable, secure data architectures including ingestion, harmonization, identity resolution, and zero-copy or data federation strategies.
  • Architect real-time activation patterns, calculated insights, segments, and agent topics, instructions, and actions built on unified data.
  • Develop RAG and generative AI solutions using Unstructured DMOs, Retrievers, Search Indexes, and Document Processing.
  • Translate business requirements into well-architected solutions in collaboration with customers, project managers, solution architects, developers, and UX designers.
  • Oversee project delivery across design, development, testing, and final deployment.
  • Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems.
  • Establish DevOps, source control, and CI/CD practices for data and AI solutions.
  • Coach and mentor developers and junior architects while staying current on new Salesforce products and capabilities.

Requirements

  • 6+ years of experience in application, data, or software development and architecture.
  • 3+ years of hands-on experience with the Salesforce Platform in a development or architecture role.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud), including data streams, DLOs, DMOs, identity resolution, calculated insights, and activation.
  • Proficiency in SQL and Apex, with exposure to modern coding languages such as Python, JavaScript, or Java.
  • Experience designing data integration patterns across enterprise systems, including MuleSoft, ETL/ELT tools, and warehouses such as Snowflake, BigQuery, or Redshift.
  • Understanding of data modeling, governance, security, and privacy best practices.
  • Experience with source control, branching and pull request strategies, and CI/CD and DevOps principles.
  • Strong communication skills and the ability to explain complex technical details to different audiences.
  • Preferred: hands-on experience with Agentforce or other generative AI/agentic platforms.
  • Preferred: experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes.
  • Preferred: Salesforce certifications such as Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist.
  • Preferred: experience defining testing approaches for data and GenAI solutions.

Benefits

  • Annual salary range varies by location, with posted ranges from $87,400 to $266,300 USD depending on market.
  • Remote and in-person work options, with many employees working remotely.
  • Flexible work culture that supports personal responsibilities and non-standard schedules.
  • Travel opportunities for certain roles, with up to 25% travel.
  • Collaborative team environment with regular town halls and company meetings.
  • A culture that includes team celebrations and social events.

Interested in this position?

Apply directly on the company website

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