Data360 Forward Deployed Engineer - Real-Time AI Data

Salesforce, Inc.

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+
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Job summary

Salesforce, Inc. is seeking a Data 360 Forward Deployed Engineer to implement enterprise data solutions in customer environments. You will configure, build, test, and deploy Data 360, ensuring real-time data quality and secure integration across systems.

You will work on ingestion, identity resolution, and AI-grounding layers, including RAG and vector databases, to support Agentforce initiatives. Strong data engineering skills and a CS background are required.

Qualifications

  • 5+ years of experience in software engineering, data engineering, or technical implementation with a production data solution.
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform.

Responsibilities

  • Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, and deployment tooling.
  • Engineer the data layer with ingestion, harmonization, and identity resolution across batch and streaming sources.
  • Ground the agents with RAG, vector databases, and knowledge bases to enable real-time data grounding.
  • Design and implement secure data access and integration patterns across enterprise applications and AI agents.

Skills

Data engineering
SQL
Apex
Python
Java
JavaScript/TypeScript
Security best practices
Problem solving
Client-facing

Education

Bachelor's degree in Computer Science or equivalent

Tools

Snowflake
Databricks
BigQuery
Redshift
Kafka
Data 360 APIs
MCP Servers

Job description

Salesforce, Inc. is seeking a Data 360 Forward Deployed Engineer to implement enterprise data solutions in customer environments. You will configure, build, test, and deploy Data 360, ensuring real-time data quality and secure integration across systems.

You will work on ingestion, identity resolution, and AI-grounding layers, including RAG and vector databases, to support Agentforce initiatives. Strong data engineering skills and a CS background are required.

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