Data 360 - Lead Forward Deployed Engineer, Italian Speaking

As a Forward Deployed Engineer, you will implement Salesforce Data 360 inside enterprise environments, turning designs into production data solutions. You work within a delivery team to build ingestion, harmonization, identity, and activation layers, plus AI data integration for Agentforce. You’ll write code in SQL, Apex, Python, and more to deliver real-time, scalable data platforms. This role blends hands-on data engineering with customer-facing delivery, applying secure, tested solutions at scale. You’ll collaborate across architecture, customers, and partners to drive impactful data-driven outcomes.

• incentive component tailored by grade level
• accommodations request process
• AI-assisted recruitment transparency

• Configure and develop in customer sandboxes and production environments using Data 360, SQL, Apex, Flow, Python, REST Query API, Interaction SDK, Salesforce DX, CLI, Git, and deployment tooling
• Engineer the data layer across ingestion, harmonization, and identity resolution for batch and streaming sources
• Validate implementations with representative test data and check happy paths, edge cases, and scale
• Design and implement AI data integration layer (RAG, vector databases, search indexes, knowledge bases) to ground Agentforce solutions
• Define protocols for agent collaboration (MCP, agent-to-agent communication) and secure, scalable data integration with enterprise apps
• Govern data security, transformation, and governance across Salesforce ecosystem and external systems
• Build secure, scalable workflows using messaging queues and event-driven architectures with OAuth/SAML
• Diagnose issues with logs, tests, and data traces; document reproducible results
• Lead decisions on architecture tradeoffs and hand off to architects or security owners
• Accelerate with AI tooling to automate build processes and reduce time-to-value
• Collaborate with customers and partners through reviews, paired programming, and handoffs
• Surface platform gaps and edge cases with evidence to Product/Support
• Provide deployment, validation, production handoff, and early stabilization with clear ownership

• 5+ years in software or data engineering with a production data solution
• Bachelor's degree in Computer Science or equivalent practical experience
• Hands-on experience with Salesforce Data 360 or similar enterprise data platform
• Experience building data pipelines and integrations using platforms like Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or MDM
• Proficiency in SQL; ability to build and optimize multi-table queries
• Fluency in Apex, Java, Python, or JavaScript/TypeScript; willingness to learn others
• Understanding of data modeling, APIs, batch/streaming processing, and data access paradigms
• Experience building AI retrieval systems (vector DBs, search indexes, embeddings, knowledge bases)
• Experience with secure service-to-service integration (OAuth, SAML, event-driven architectures) and agent protocols (MCP)
• Ability to implement secure data access, entitlements, consent, and negative testing
• Experience delivering with customers, partners, or professional services in deadline-driven environments
• Relevant Salesforce certifications in Agentforce, Data 360, and Salesforce Platform

• Collaborative
• Customer-oriented
• Strong problem-solving and methodical debugging
• SQL
• Apex
• Python