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Data 360 - Lead/ Principal Forward Deployed Engineer

Salesforce
Dubai, UAE
Full-time
Director
Onsite
Discovered 1 weeks ago
Salesforce Data 360 / Data CloudSQLPythonApexJavaJavaScript/TypeScript

Full Job Posting

Role overview

Hands-on Data 360 Forward Deployed Engineer role focused on implementing Salesforce’s real-time enterprise data platform for customers.

Builds data foundations and integrations that support Agentforce, including retrieval, vector search, MCP, and agent-to-agent communication.

Engagements may include proof work, production rollout, and stabilization with customer teams and Salesforce delivery partners.

What you will do

  • Build and deploy Data 360 solutions in customer environments using SQL, Apex, Python, Flow, APIs, Salesforce DX, Git, and deployment tooling as needed.
  • Engineer ingestion, harmonization, identity resolution, data views, and batch or streaming integrations.
  • Test functional outcomes, edge cases, security boundaries, failures, and performance at customer scale.
  • Develop RAG, vector search, knowledge-base, MCP, and agent communication integrations for Agentforce.
  • Apply data governance, security, authentication, authorization, and resilient distributed-system patterns.
  • Debug implementation issues, document evidence and tradeoffs, and escalate product gaps with reproducible details.
  • Pair with customer teams and partners, package reusable implementation materials, and support production handoff and stabilization.

Experience and background

  • 8+ years in software engineering, data engineering, or technical implementation, including production data solution experience.
  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • Hands-on Salesforce Data 360/Data Cloud or comparable enterprise data-platform implementation experience.
  • Experience with enterprise data pipelines and integrations using one or more platforms or technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or enterprise MDM.

Technical qualifications

  • Proficiency in SQL and fluency in at least one of Apex, Java, Python, or JavaScript/TypeScript.
  • Understanding of data modeling, APIs, integration patterns, batch and streaming, and copied, federated, and Zero Copy data access.
  • Experience building AI retrieval systems such as vector databases, search indexes, embedding pipelines, or knowledge bases.
  • Experience with secure service integration and data access, including testing permissions, entitlements, consent, and user context.
  • Relevant Salesforce Agentforce, Data 360, and Salesforce Platform certifications are mentioned without being stated as mandatory.

Delivery environment

  • Work is performed directly in enterprise customer environments and alongside customer administrators, developers, data engineers, architects, and partners.
  • The posting does not specify an onsite, hybrid, or remote work policy.

Benefits and culture

  • Salesforce describes benefits and resources intended to support balance and employee impact.

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