VXForward
VXForward
VXForward ir informācijas tehnoloģiju konsultāciju un pakalpojumu uzņēmums, kas palīdz organizācijām modernizēt un pārvaldīt sarežģītas tehnoloģiju vides. Uzņēmuma darbība aptver uzņēmumu programmatūras izstrādi, biznesa procesu pārvaldību, biznesa informāciju, datubāzu administrēšanu, DevOps, starpprogrammatūras atbalstu, kiberdrošību, kā arī nepārtrauktu sistēmu darbību un uzturēšanu. VXForward sniedz konsultāciju, ieviešanas un atbalsta pakalpojumus biznesa sistēmām, kas izveidotas, izmantojot tādas platformas kā Pega, Appian, TIBCO, IBM, Oracle un Microsoft. Uzņēmumam ir arī pieredze programmu un projektu pārvaldībā, uz riskiem balstītā kiberdrošībā, mantotajās lieldatoru sistēmās un mākoņdatošanas risinājumu darbībā.

Salesforce Data 360 Technical Architect

Design Salesforce Data 360 architecture and Agentforce integrations for VXForward clients. Improve enterprise data ingestion, modeling, governance, and AI grounding.

Apraksts

  • Assess existing Data 360 implementations from end to end
  • Find and resolve bottlenecks in identity resolution, ingestion pipelines, and calculated insights
  • Design scalable Data 360 architecture for Sales Transformation and RCA Migration in line with Salesforce best practices
  • Configure and optimize batch and streaming ingestion connectors
  • Connect S3, Snowflake, MuleSoft, BigQuery, and Kafka to Data 360 using Zero Copy and standard ingestion frameworks
  • Map source data streams (DDS) to Data Model Objects (DMOs) with the Cloud Information Model (CIM) and custom schemas
  • Configure Data 360 as the context and grounding layer for Agentforce
  • Enable real-time data access, vector embeddings, and retrieval-augmented generation (RAG)
  • Configure Data 360 hands-on, including DataWeave transformations, segments, calculated insights, and API integrations

Prasības

  • Bring deep architectural and practical 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
  • Demonstrate skill configuring standard and custom connectors, real-time streaming, batch ingestion, and Zero Copy data architecture
  • Be proficient with 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

Priekšrocības

  • Work on engaging projects with meaningful impact
  • Access ongoing learning and professional growth
  • Use modern technologies
  • Collaborate with a supportive team
  • Contribute to work that makes a difference
  • Maintain work-life balance

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