Overview As 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 / Benefits

base salary EUR 88,200–117,900 per year incentive component tailored by grade level accommodations process available benefits and resources supporting work-life balance

Responsabilità

Build in customer sandboxes and production environments using Data 360 configuration, SQL, Apex, Flow, Python, REST API, and deployment tooling Engineer the data layer with ingestion, harmonization, and identity resolution for batch and streaming sources Validate implementations with representative test data across happy paths, edge cases, and large-scale volumes Ground 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 apps Govern data governance, security, and privacy across Salesforce ecosystem and external systems Build for scale and security with secure authentication/authorization (OAuth, SAML)

and distributed architectures Troubleshoot ingestion, mapping, schema drift, and permissions with reproducible results Document tradeoffs and hand off implementations to architects orTechnical leads Collaborate with customers and partners through reviews, pairing, and handoffs Contribute reusable metadata, scripts, tests, and runbooks for repeatable deployments Provide input to product roadmap with evidence of platform gaps and edge cases

Requisiti fondamentali

8+ years of experience in software or data engineering or technical implementation Bachelor's degree in Computer Science or equivalent practical experience Hands-on experience with Salesforce Data 360 (Data Cloud) or similar enterprise data platform Proficiency in SQL and multi-table query optimization Fluency in Apex, Java, Python, or JavaScript/TypeScript; willingness to learn others Experience 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 patterns Experience 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 plus Ability to explain built work to customer teams and work in deadline-driven environments Relevant Salesforce Agentforce/Data 360 certifications are advantageous Customer-focused Problem-solving Strong collaboration across cross-functional teams SQL Apex Python

Data 360 - Principal Forward Deployed Engineer, Italian Speaking

Stewarding Manager

Direttore/Direttrice a Bologna

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Farmacista a Trieste

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