Salesforce Technical Architect, Data & AI
As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will be responsible for owning the end-to-end technical solution that turns unified customer data into intelligent, AI-powered experiences for our clients. You'll have the opportunity to make significant contributions to our success by working with the rest of our talented AI and Data team to delight customers.
This position is focused on architecting and executing technical solutions across the Data 360 and Agentforce platform—designing scalable data models, identity resolution strategies, real-time activation patterns, and the agentic solutions built on top of them.
You'll have the opportunity to:
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.
Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.
Required Qualifications
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
Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles
Strong communication skills; the ability to convey complex technical details to all audiences
Preferred Skills
Hands-on experience with Agentforce or other Generative AI / agentic platforms
Experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes
Salesforce certifications, preferably Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist
Experience defining robust testing approaches for data and GenAI solutions
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.