Hands-On Data 360 Forward Deployed Engineer

Salesforce; Ireland; On-site; EUR 90,000 - 140,000; Full time

Job summary

Salesforce is seeking a Forward Deployed Engineer for Data 360 to implement real-time data solutions inside customer environments. You will act as a hands-on builder, configuring and deploying data pipelines in enterprise contexts and collaborating with client teams to translate designs into production-ready platforms.

You will work with architects, deployment strategists, and customer technical teams, writing SQL, Python, and Apex, and ensuring security and scalability across ingestion,

Responsibilities

• Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls.
• Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric).
• Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
• Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data.
• Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents.
• Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents.
• Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems.
• Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies.

Job description

Salesforce is seeking a Forward Deployed Engineer for Data 360 to implement real-time data solutions inside customer environments. You will act as a hands-on builder, configuring and deploying data pipelines in enterprise contexts and collaborating with client teams to translate designs into production-ready platforms.

You will work with architects, deployment strategists, and customer technical teams, writing SQL, Python, and Apex, and ensuring security and scalability across ingestion,