Data 360 – Lead / Principal Forward Deployed Engineer, Salesforce

Engineer
United Arab Emirates, Dubai
October 16, 2026
Full Time

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Job Description

Salesforce is hiring a Lead / Principal Forward Deployed Engineer to implement Data 360 solutions within enterprise customer environments. Data Engineering, Real-Time Data Integration, Identity Resolution, and AI Applications. The duties include building data pipelines, validating their implementation, debugging any technical problems, and securing enterprise data. The suitable candidates must have extensive software engineering knowledge, experience with SQL, programming knowledge, and implementation experience.

Experience: 8+ years

Qualification: Bachelor’s degree in computer science or equivalent practical experience

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Responsibilities

  • Provide the solution by creating, configuring, testing, and deploying Data 360 solutions in the customer’s environment.
  • Construct data ingestion pipeline processes along with identity resolution in both batch and stream data sources.
  • Design AI-powered data integration platform that uses methods such as retrieval-augmented generation, vector databases, search indexes, and knowledge bases.
  • Solve any issues that occur during data pipelines, data integration, identities, APIs, and security.
  • Participate in deployment efforts with customers and architects.

Requirements

  • Eight years minimum experience in software engineering, data engineering, or technical implementation, which includes deploying into production.
  • Bachelor’s degree in Computer Science or relevant experience in any technical field.
  • Experience in using Salesforce Data 360 or Data Cloud or similar Enterprise Data Platform.
  • Sound understanding of SQL with good programming skills in any single programming language like Python, Java, Apex, JavaScript, etc.
  • Expert level knowledge of data modeling, API, data pipeline, integrations, authentication, and distributed systems.

Preferred Qualifications

  • Practical working experience with Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, and enterprise master data management solutions.
  • Hands-on practical experience in combining AI, retrieval-augmented models, vector databases, embedding pipelines, and enterprise knowledge graphs.
  • Working experience with Model Context Protocol (MCP), agent-to-agent interactions, OAuth, SAML, and event-driven architectures.
  • Professional certifications in Salesforce Agentforce, Data 360, or Salesforce Platform.
  • Practical experience in working with enterprise customers, technical partners, architects, and implementation teams in production environments.

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