OverviewAs a Forward Deployed Engineer for Data 360, you will implement real-time data capabilities directly in customer environments, turning designs into production data pipelines and AI-grounding layers. You'll work in a delivery team to connect ingestion, identity, insights, and activation, ensuring secure, scalable deployments. The role combines data engineering with hands-on software engineering to deliver tangible outcomes for enterprise data initiatives. This is a customer-facing, impact-driven position at the intersection of data, AI, and enterprise systems.Retribuzione / Benefitsbase salary EUR 88,200–117,900 per yearincentive component tailored by grade levelaccommodations process availablebenefits and resources supporting work-life balanceResponsabilitàBuild in customer sandboxes and production environments using Data 360 configuration, SQL, Apex, Flow, Python, REST API, and deployment toolingEngineer the data layer with ingestion, harmonization, and identity resolution for batch and streaming sourcesValidate implementations with representative test data across happy paths, edge cases, and large-scale volumesGround the agents by designing and maintaining the AI data integration layer (RAG, vector databases, knowledge bases)Design and implement protocols for agent communication and execution (MCP, agent-to-agent)Create scalable, secure data integration patterns connecting Agentforce to enterprise appsGovern data governance, security, and privacy across Salesforce ecosystem and external systemsBuild for scale and security with secure authentication/authorization (OAuth, SAML)



and distributed architecturesTroubleshoot ingestion, mapping, schema drift, and permissions with reproducible resultsDocument tradeoffs and hand off implementations to architects orTechnical leadsCollaborate with customers and partners through reviews, pairing, and handoffsContribute reusable metadata, scripts, tests, and runbooks for repeatable deploymentsProvide input to product roadmap with evidence of platform gaps and edge casesRequisiti fondamentali8+ years of experience in software or data engineering or technical implementationBachelor's degree in Computer Science or equivalent practical experienceHands-on experience with Salesforce Data 360 (Data Cloud) or similar enterprise data platformProficiency in SQL and multi-table query optimizationFluency in Apex, Java, Python, or JavaScript/TypeScript; willingness to learn othersExperience building data pipelines and integrations with current data platforms (e.G., Snowflake, Databricks, BigQuery, Redshift, Kafka)Understanding of data modeling, APIs, batch/streaming processing, and data access patternsExperience with AI data grounding (vector databases, embedding pipelines, knowledge bases)Experience with secure service-to-service integration (OAuth, SAML, event-driven architectures)Familiarity with MCP or agent-to-agent protocols is a plusAbility to explain built work to customer teams and work in deadline-driven environmentsRelevant Salesforce Agentforce/Data 360 certifications are advantageousCustomer-focusedProblem-solvingStrong collaboration across cross-functional teamsSQLApexPython

📌 Data 360 - Principal Forward Deployed Engineer, Italian Speaking (Monza)
🏢 Salesforce
📍 Monza