This is a fully remote position, open to applicants in United States.

📋 Description

• Perform a comprehensive evaluation of the current Data 360 implementation.

• Identify challenges in identity resolution, data ingestion workflows, and calculated insights; develop and implement optimization strategies.

• Create scalable, enterprise-level Data 360 architecture that aligns with Sales Transformation and RCA Migration needs, adhering to Salesforce best practices.

• Set up and enhance batch and streaming ingestion connectors.

• Develop integration flows linking S3, Snowflake, MuleSoft, BigQuery, and Kafka to Data 360 using Zero Copy and standard ingestion frameworks.

• Map incoming data streams (DDS) to Data Model Objects (DMOs) utilizing the Cloud Information Model (CIM) and customized schema structures.

• Configure Data 360 to serve as the foundational context and grounding layer for Agentforce.

• Facilitate real-time data access, vector embeddings, and retrieval-augmented generation (RAG).

• Engage in hands-on configuration, DataWeave transformations, segment creation, calculated insights, and API integrations.

⛳️ Requirements

• Extensive architectural and practical experience with Salesforce Data 360 / Data Cloud.

• Direct experience in setting up Data 360 data layers to support Agentforce AI agents with reliable enterprise data.

• Demonstrated ability to configure standard/custom connectors, manage real-time streaming, batch ingestion, and Zero Copy data architecture.

• Proficient in Data Model Objects (DMOs), Data Stream Objects (DSOs), and identity resolution rulesets.

• Practical experience with identity resolution, data harmonization, governance, security modeling, and enterprise data workflows.

🏝️ Benefits

• Engaging Projects with Significant Impact.

• Opportunities for Continuous Learning and Development.

• Access to Cutting-Edge Technologies.

• Collaborative Team Atmosphere.

• Opportunity to Make a Genuine Difference.

• Work-Life Balance.