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 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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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