VXForward
VXForward
VXForward एक सूचना प्रौद्योगिकी परामर्श और सेवा कंपनी है, जो संगठनों को जटिल प्रौद्योगिकी परिवेशों को आधुनिक बनाने और संचालित करने में सहायता करती है। इसका कार्य एंटरप्राइज़ सॉफ़्टवेयर विकास, व्यावसायिक प्रक्रिया प्रबंधन, बिज़नेस इंटेलिजेंस, डेटाबेस प्रशासन, DevOps, मिडलवेयर सहायता, साइबर सुरक्षा तथा निरंतर संचालन और रखरखाव तक विस्तृत है। VXForward Pega, Appian, TIBCO, IBM, Oracle और Microsoft सहित प्लेटफ़ॉर्मों पर निर्मित व्यावसायिक प्रणालियों के लिए परामर्श, कार्यान्वयन और सहायता प्रदान करती है। इसके अतिरिक्त, कंपनी को कार्यक्रम और परियोजना प्रबंधन, जोखिम-आधारित साइबर सुरक्षा, विरासत मेनफ़्रेम तथा क्लाउड-सक्षम संचालन में विशेषज्ञता प्राप्त है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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