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Kompaniyadagi ish o‘rinlari

Salesforce Technical Architect – Data 360 and Agentforce, Remote

Design and optimize Salesforce Data 360 architectures and Agentforce integrations for enterprise technology clients. Build trusted data foundations through ingestion, identity resolution, modeling, and AI grounding.

USAmerika Qo‘shma Shtatlari
80 $ – 100 $ / soat
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaSalesforce dasturchisi
BigQueryBulutKafka

Tavsif

  • Assess existing Data 360 implementations from end to end.
  • Diagnose constraints across identity resolution, ingestion pipelines, and calculated insights.
  • Develop and implement targeted optimization strategies.
  • Architect scalable Data 360 solutions supporting Sales Transformation and RCA Migration initiatives.
  • Configure and refine batch and streaming ingestion connectors.
  • Build Data 360 integration flows with S3, Snowflake, MuleSoft, BigQuery, and Kafka using Zero Copy and standard ingestion frameworks.
  • Translate DDS source streams into Data Model Objects through the Cloud Information Model and custom schemas.
  • Configure Data 360 as the core context and grounding layer for Agentforce.
  • Support real-time data access, vector embeddings, and retrieval-augmented generation.
  • Deliver hands-on DataWeave transformations, segment creation, calculated insights, and API integrations.

Talablar

  • Extensive architectural and hands-on experience with Salesforce Data 360, also known as Data Cloud.
  • Experience configuring Data 360 data layers to provide trusted enterprise context for Agentforce AI agents.
  • Demonstrated expertise with standard and custom connectors, real-time streaming, batch ingestion, and Zero Copy architecture.
  • Strong command of Data Model Objects, Data Stream Objects, and identity resolution rulesets.
  • Practical knowledge of identity resolution, data harmonization, governance, security modeling, and enterprise data flows.
  • Experience integrating S3, Snowflake, MuleSoft, BigQuery, and Kafka with Data 360.
  • Hands-on proficiency in DataWeave transformations, segment creation, calculated insights, and API integrations.

Imtiyozlar

  • Work on challenging projects with meaningful business impact.
  • Access ongoing opportunities for learning and professional growth.
  • Use modern technologies across enterprise data and AI initiatives.
  • Collaborate within a supportive team environment.
  • Maintain a healthy balance between work and personal life.
  • Pursue continued career development and advancement.
  • Choose full-time employment or consulting and contract engagements.

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