Salesforce Technical Architect

Job Description:

• Conduct end-to-end evaluation of existing Data 360 implementation
• Identify bottlenecks in identity resolution, data ingestion pipelines, and calculated insights; formulate and execute optimization strategies
• Design scalable, enterprise-grade Data 360 architecture aligned with Sales Transformation and RCA Migration requirements and Salesforce best practices
• Configure and optimize batch and streaming ingestion connectors
• Establish integration flows connecting S3, Snowflake, MuleSoft, BigQuery, and Kafka to Data 360 via Zero Copy and standard ingestion frameworks
• Map incoming source data streams (DDS) to Data Model Objects (DMOs) using the Cloud Information Model (CIM) and custom schema structures
• Design and configure Data 360 as the foundational context and grounding layer for Agentforce
• Enable real-time data access, vector embeddings, and retrieval-augmented generation (RAG)
• Perform hands-on configuration, DataWeave transformations, segment creation, calculated insights, and API integrations

Requirements:

• Deep architectural and practical experience with Salesforce Data 360 / Data Cloud
• Direct experience configuring Data 360 data layers to ground Agentforce AI agents with trusted enterprise data
• Proven capability in configuring standard/custom connectors, real-time streaming, batch ingestion, and Zero Copy data architecture
• Proficiency with Data Model Objects (DMOs), Data Stream Objects (DSOs), and identity resolution rulesets
• Hands-on experience with identity resolution, data harmonization, governance, security modeling, and enterprise data flows

Benefits:

• Exciting Projects, Meaningful Impact
• Continuous Learning and Growth
• State-of-the-Art Technologies
• Collaborative Team Environment
• Make a Real Difference
• Work-Life Balance