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 — Remote, United States

Design and optimize Salesforce Data 360 architectures and Agentforce integrations for enterprise clients. Build ingestion pipelines, identity resolution, data models, and AI grounding capabilities.

Apraksts

  • Assess the existing Salesforce Data 360 implementation end to end
  • Diagnose bottlenecks across identity resolution, ingestion pipelines, and calculated insights
  • Develop and implement optimization strategies
  • Architect scalable Data 360 solutions aligned with Sales Transformation, RCA Migration, and Salesforce best practices
  • Configure and improve batch and streaming ingestion connectors
  • Build integration flows from S3, Snowflake, MuleSoft, BigQuery, and Kafka into Data 360 using Zero Copy and standard ingestion frameworks
  • Map DDS source streams to Data Model Objects through the Cloud Information Model and custom schemas
  • Configure Data 360 as the enterprise context and grounding layer for Agentforce
  • Enable real-time data access, vector embeddings, and retrieval-augmented generation
  • Complete hands-on configuration, DataWeave transformations, segmentation, calculated insights, and API integrations

Prasības

  • Extensive architectural and hands-on experience with Salesforce Data 360 or Data Cloud
  • Experience configuring Data 360 data layers to provide trusted enterprise grounding for Agentforce AI agents
  • Demonstrated ability to configure standard and custom connectors, real-time streaming, batch ingestion, and Zero Copy architectures
  • Proficiency with Data Model Objects, Data Stream Objects, and identity resolution rulesets
  • Hands-on knowledge of identity resolution, data harmonization, governance, security modeling, and enterprise data flows
  • Experience integrating S3, Snowflake, MuleSoft, BigQuery, and Kafka
  • Practical experience with Zero Copy and standard ingestion frameworks
  • Experience delivering DataWeave transformations, segments, calculated insights, and API integrations

Priekšrocības

  • Work on engaging projects with meaningful outcomes
  • Access ongoing learning and professional growth opportunities
  • Use modern, state-of-the-art technologies
  • Collaborate within a team-oriented environment
  • Contribute to work with a tangible impact
  • Maintain a healthy work-life balance
  • Full-time opportunities with room for growth
  • Consulting and contract opportunities across challenging, engaging projects

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