Data 360 Forward Deployed Engineer | Real-Time AI Data

Salesforce

Dublin

On-site

EUR 120,000 - 180,000

Full time

3 days ago
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Job summary

Salesforce is hiring a Forward Deployed Engineer focused on Data 360 to implement real-time data pipelines inside customer environments. You will configure, test, and deploy Data 360 components—ingestion, harmonization, identity, and insights—ensuring security and scalable architectures.

The role requires hands-on engineering experience with SQL, Apex, Python, and integration patterns, and collaboration with customer teams to deliver production-ready solutions.

Qualifications

  • 5+ years of software or data engineering experience with a production data solution.
  • Bachelor's degree in CS or equivalent.
  • Hands-on experience with Salesforce Data 360 or comparable enterprise data platform.
  • Experience building data pipelines and integrations.
  • Proficient in SQL with multi-table queries and data validation.
  • Fluent in Apex, Java, Python, or JavaScript/TypeScript.

Responsibilities

  • Configure and develop directly in customer sandboxes and production environments using Data 360 configuration and APIs.
  • Engineer data layer across ingestion, harmonization, identity, and insights.
  • Create representative test data and validate outcomes across paths and boundaries.
  • Ground the AI data integration layer (RAG, vector databases, knowledge bases).
  • Implement MCP and agent-to-agent communication protocols.
  • Connect Agentforce to enterprise applications and ensure secure data integration.

Skills

SQL
Apex
Python
Java
Data engineering
APIs

Education

Bachelor's degree in Computer Science or equivalent

Tools

Salesforce Data 360
Salesforce DX
Flow
Git

Job description

Salesforce is hiring a Forward Deployed Engineer focused on Data 360 to implement real-time data pipelines inside customer environments. You will configure, test, and deploy Data 360 components—ingestion, harmonization, identity, and insights—ensuring security and scalable architectures.

The role requires hands-on engineering experience with SQL, Apex, Python, and integration patterns, and collaboration with customer teams to deliver production-ready solutions.

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