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

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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