Data 360 - Principal Forward Deployed Engineer- Italy
Overview
As a Forward Deployed Engineer, you will implement Salesforce Data 360 inside customer environments, turning designs into production-ready data pipelines and AI-ready data layers. You’ll work with cross-functional teams to deliver real-time data foundations that support Agentforce AI agents. The role blends hands-on data engineering and software engineering to solve complex ingestion, identity, and governance challenges at scale. This is an opportunity to help shape how enterprises leverage real-time data and AI in practice.
Retribuzione / Benefits
- incentive component tailored by grade level
Responsabilità
- Build in customer environments using Data 360, SQL, Apex, Python, Flow and related tooling; deploy from sandbox to production
- Engineer the data layer: ingestion, harmonization, identity resolution, batch and streaming processing
- Ground AI agents with RAG, vector databases, search indexes, and knowledge bases
- Design and implement agent communication protocols (MCP, agent-to-agent) and secure data integration patterns
- Govern data integration, transformation, and governance across Salesforce ecosystem and external systems
- Ensure secure authentication/authorization (OAuth, SAML) and compliant enterprise security practices
- Troubleshoot ingestion, mapping, schema drift, and API issues with reproducible results
- Collaborate with customers, partners, and internal teams, delivering handoffs and documentation for ongoing support
- Contribute to roadmap through feedback and live evidence from deployments
Requisiti fondamentali
- 8+ years in software or data engineering or technical implementation with a production data solution
- Bachelor’s degree in Computer Science or equivalent practical experience
- Hands-on experience implementing Salesforce Data 360 or similar data platform across ingestion, modeling, identity, insight, activation, and operations
- Experience building data pipelines and integrations with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Kafka)
- Proficiency in SQL; ability to write and optimize multi-table queries
- Fluency in at least one enterprise language (Apex, Java, Python, or JavaScript/TypeScript) and willingness to learn others
- Understanding of data modeling, APIs, integration patterns, and batch/streaming processing
- Experience building AI retrieval/app knowledge systems (vector databases, indexing, embeddings)
- Experience with secure service-to-service integration (OAuth, SAML) and agent protocols (MCP)
- Ability to implement against documented architecture and communicate with customer technical teams
- Experience delivering with customers/partners in deadline-driven environments
- Relevant Salesforce Agentforce/Data 360 certifications (preferred)
- Customer-facing collaboration
- Methodical problem-solving
- Clear communication with technical and non-technical stakeholders
- Data 360 (Data Cloud) experience
- SQL
- Apex
As a Forward Deployed Engineer, you will implement Salesforce Data 360 inside customer environments, turning designs into production-ready data pipelines and AI-ready data layers. You’ll work with cross-functional teams to deliver real-time data foundations that support Agentforce AI agents. The role blends hands-on data engineering and software engineering to solve complex ingestion, identity, and governance challenges at scale. This is an opportunity to help shape how enterprises leverage real-time data and AI in practice.
Retribuzione / Benefits
- incentive component tailored by grade level
Responsabilità
- Build in customer environments using Data 360, SQL, Apex, Python, Flow and related tooling; deploy from sandbox to production
- Engineer the data layer: ingestion, harmonization, identity resolution, batch and streaming processing
- Ground AI agents with RAG, vector databases, search indexes, and knowledge bases
- Design and implement agent communication protocols (MCP, agent-to-agent) and secure data integration patterns
- Govern data integration, transformation, and governance across Salesforce ecosystem and external systems
- Ensure secure authentication/authorization (OAuth, SAML) and compliant enterprise security practices
- Troubleshoot ingestion, mapping, schema drift, and API issues with reproducible results
- Collaborate with customers, partners, and internal teams, delivering handoffs and documentation for ongoing support
- Contribute to roadmap through feedback and live evidence from deployments
Requisiti fondamentali
- 8+ years in software or data engineering or technical implementation with a production data solution
- Bachelor’s degree in Computer Science or equivalent practical experience
- Hands-on experience implementing Salesforce Data 360 or similar data platform across ingestion, modeling, identity, insight, activation, and operations
- Experience building data pipelines and integrations with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Kafka)
- Proficiency in SQL; ability to write and optimize multi-table queries
- Fluency in at least one enterprise language (Apex, Java, Python, or JavaScript/TypeScript) and willingness to learn others
- Understanding of data modeling, APIs, integration patterns, and batch/streaming processing
- Experience building AI retrieval/app knowledge systems (vector databases, indexing, embeddings)
- Experience with secure service-to-service integration (OAuth, SAML) and agent protocols (MCP)
- Ability to implement against documented architecture and communicate with customer technical teams
- Experience delivering with customers/partners in deadline-driven environments
- Relevant Salesforce Agentforce/Data 360 certifications (preferred)
- Customer-facing collaboration
- Methodical problem-solving
- Clear communication with technical and non-technical stakeholders
- Data 360 (Data Cloud) experience
- SQL
- Apex