VXForward
VXForward
1 – 10 Employees
B2BConsultingCybersecurity
VXForward is an information technology consulting and services company that helps organizations modernize and operate complex technology environments. Its work spans enterprise software development, business process management, business intelligence, database administration, DevOps, middleware support, cybersecurity, and ongoing operations and maintenance. VXForward provides consulting, implementation, and support across business systems built with platforms including Pega, Appian, TIBCO, IBM, Oracle, and Microsoft, with additional expertise in program and project management, risk-based cybersecurity, legacy mainframes, and cloud-enabled operations.

Salesforce Data 360 Technical Architect

Design Data 360 architecture, integrations, and Agentforce grounding layers for VXForward clients. Deliver enterprise technology solutions across data ingestion, identity resolution, and AI.

Description

  • Assess existing Data 360 implementations and identify areas for improvement.
  • Find bottlenecks in identity resolution, data ingestion pipelines, and calculated insights.
  • Develop and carry out optimization strategies.
  • Design scalable, enterprise-grade Data 360 architecture for Sales Transformation and RCA Migration needs.
  • Configure and optimize batch and streaming ingestion connectors.
  • Build flows connecting S3, Snowflake, MuleSoft, BigQuery, and Kafka to Data 360 through Zero Copy and standard ingestion frameworks.
  • Map source data streams to Data Model Objects using the Cloud Information Model and custom schemas.
  • Configure Data 360 as Agentforce’s context and grounding layer.
  • Enable real-time data access, vector embeddings, and retrieval-augmented generation.
  • Configure Data 360 hands-on, including DataWeave transformations, segments, calculated insights, and API integrations.

Requirements

  • Bring deep architectural and hands-on experience with Salesforce Data 360 or Data Cloud.
  • Have direct experience configuring Data 360 data layers to ground Agentforce AI agents in trusted enterprise data.
  • Be able to configure standard and custom connectors, real-time streaming, batch ingestion, and Zero Copy data architecture.
  • Know Data Model Objects (DMOs), Data Stream Objects (DSOs), and identity resolution rulesets.
  • Have hands-on experience with identity resolution, data harmonization, governance, security modeling, and enterprise data flows.
  • Have experience integrating S3, Snowflake, MuleSoft, BigQuery, and Kafka.
  • Have experience with DataWeave transformations, segment creation, calculated insights, and API integrations.

Benefits

  • Work on engaging projects with meaningful impact.
  • Access ongoing learning and professional growth.
  • Use current, state-of-the-art technologies.
  • Work in a collaborative team environment.
  • Contribute to work that makes a difference.
  • Maintain work-life balance.
  • Find opportunities for growth and development.
  • Choose from full-time or consulting and contract opportunities.

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