Salesforce Technical Architect, Data & AI

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Skills you'll use

What you'll do

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data.
• Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies.
• Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes.
• Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices.
• Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions.
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment.
• Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns.
• Establish DevOps, source control, and CI/CD practices for data and AI solutions.

Who can apply

• Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.
• 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)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation
• Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java)
• Experience designing data integration patterns across enterprise systems (MuleSoft, ETL/ELT tooling, data warehouses such as Snowflake, BigQuery, or Redshift)
• Understanding of data modeling, governance, security, and privacy best practices

About NeuraFlash, Part of Accenture

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