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 (Milano)
🏢 Salesforce
📍 Milano