Salesforce Technical Architect - Remote

VXForward LLC

• $166K — $208K *
Washington, DC 20011In-Person
Technical Services
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on experience with Salesforce Data 360 (Data Cloud).
  • Direct experience in configuring Data 360 for Agentforce integration.
  • Strong ability to set up standard/custom connectors for data ingestion.
  • Proficient in Data Model Objects (DMOs) and Data Stream Objects (DSOs).
  • Solid understanding of data governance, identity resolution, and security modeling.

Responsibilities

  • Conduct comprehensive assessment of Data 360 implementation and optimize for performance.
  • Design scalable architecture aligned with Sales Transformation and RCA Migration needs.
  • Configure batch and streaming ingestion connectors for seamless data integration.
  • Map incoming data streams to Data Model Objects using Cloud Information Model.
  • Integrate Data 360 with Agentforce for real-time data access and AI functionalities.
  • Execute high-level architecture plans with hands-on configuration and API integration.

Benefits

  • Fully remote work arrangement.
  • Opportunities for hands-on engagement in advanced data architecture.
  • Collaboration with innovative teams focused on cutting-edge solutions.
  • Exposure to Salesforce best practices and cutting-edge technologies.
Full Job Description
Responsibilities:
• Architectural Assessment & Optimization: Conduct end-to-end evaluation of the existing Data 360 (Data Cloud) implementation. Identify bottlenecks in identity resolution, data ingestion pipelines, and calculated insights; formulate and execute optimization strategies.
• Solution Design & Technical Governance: Design scalable, enterprise-grade architecture for Data 360, aligning Sales Transformation and RCA Migration requirements with Salesforce best practices.
• Data Ingestion & Integration: Configure and optimize batch and streaming ingestion connectors. Establish integration flows connecting enterprise sources (S3,Snowflake, MuleSoft, BigQuery, Kafka) to Data 360 via Zero Copy and standard ingestion frameworks.
• Data Modeling & Architecture: Map incoming source data streams (DDS) to Data Model Objects (DMOs) using the Cloud Information Model (CIM) and custom schema structures.
• Agentforce Integration: Design and configure Data 360 as the foundational context and grounding layer for Agentforce, enabling real-time data access, vector embeddings, and retrieval-augmented generation (RAG).
• Hands-on Execution & Build: Pivot seamlessly from high-level architecture design to hands-on configuration, DataWeave transformations, segment creation, calculated insights, and API integrations.

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

This is a remote position.

Compensation: $80.00 - $100.00 per hour
* Ladders Estimates

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