Data 360 - Principal Forward Deployed Engineer, Italian Speaking

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