Salesforce Technical Architect - Remote
About The Position
VXForward is seeking a Salesforce Technical Architect to assess, optimize, and design Salesforce Data 360 (Data Cloud) implementations. The role aligns Data 360 architecture with Sales Transformation and RCA Migration requirements and uses Salesforce best practices to create scalable, enterprise-grade solutions. It also integrates Data 360 with Agentforce as a trusted enterprise-data context and grounding layer, supporting real-time access, vector embeddings, and retrieval-augmented generation (RAG). The position combines architectural leadership with hands-on configuration and implementation. It involves working with enterprise data sources and ingestion frameworks, mapping incoming data to Data Model Objects (DMOs), and building transformations, segments, calculated insights, and API integrations. This is a remote position. VXForward describes itself as a technology solutions provider offering services across industries. It highlights exciting projects, meaningful impact, continuous learning and growth, state-of-the-art technologies, a collaborative team environment, and work-life balance. VXForward is an Equal Opportunity Employer committed to a diverse and inclusive workforce.
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 ability to configure standard and 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.
Responsibilities
- Conduct end-to-end assessments of existing Data 360 (Data Cloud) implementations and identify bottlenecks in identity resolution, data ingestion pipelines, and calculated insights.
- Develop and execute optimization strategies for Data 360 implementations.
- 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 from enterprise sources, including S3, Snowflake, MuleSoft, BigQuery, and Kafka, to Data 360 using 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 context and grounding layer for Agentforce, enabling real-time data access, vector embeddings, and retrieval-augmented generation (RAG).
- Perform hands-on configuration and implementation, including DataWeave transformations, segment creation, calculated insights, and API integrations.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
