Overview 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.

Retribuzione / Benefits

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

Responsabilità

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

Requisiti fondamentali

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

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