Salesforce Technical Architect, Data & AI

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

Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation

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

Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles

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.