Data 360 - Principal Forward Deployed Engineer- Italy
bOverview /b pAs 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. /p bRetribuzione / Benefits /bulliincentive component tailored by grade level /li /ul bResponsabilità /bulliBuild in customer environments using Data 360, SQL, Apex, Python, Flow and related tooling; deploy from sandbox to production /liliEngineer the data layer: ingestion, harmonization, identity resolution, batch and streaming processing /liliGround AI agents with RAG, vector databases, search indexes, and knowledge bases /liliDesign and implement agent communication protocols (MCP, agent-to-agent) and secure data integration patterns /liliGovern data integration, transformation, and governance across Salesforce ecosystem and external systems /liliEnsure secure authentication/authorization (OAuth, SAML) and compliant enterprise security practices /liliTroubleshoot ingestion, mapping, schema drift, and API issues with reproducible results /liliCollaborate with customers, partners, and internal teams,
delivering handoffs and documentation for ongoing support /liliContribute to roadmap through feedback and live evidence from deployments /li /ul bRequisiti fondamentali /bulli8+ years in software or data engineering or technical implementation with a production data solution /liliBachelor’s degree in Computer Science or equivalent practical experience /liliHands-on experience implementing Salesforce Data 360 or similar data platform across ingestion, modeling, identity, insight, activation, and operations /liliExperience building data pipelines and integrations with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Kafka) /liliProficiency in SQL; ability to write and optimize multi-table queries /liliFluency in at least one enterprise language (Apex, Java, Python, or JavaScript/TypeScript) and willingness to learn others /liliUnderstanding of data modeling, APIs, integration patterns, and batch/streaming processing /liliExperience building AI retrieval/app knowledge systems (vector databases, indexing, embeddings) /liliExperience with secure service-to-service integration (OAuth, SAML) and agent protocols (MCP) /liliAbility to implement against documented architecture and communicate with customer technical teams /liliExperience delivering with customers/partners in deadline-driven environments /liliRelevant Salesforce Agentforce/Data 360 certifications (preferred) /li /ululliCustomer-facing collaboration /liliMethodical problem-solving /liliClear communication with technical and non-technical stakeholders /liliData 360 (Data Cloud) experience /liliSQL /liliApex /li /ul
delivering handoffs and documentation for ongoing support /liliContribute to roadmap through feedback and live evidence from deployments /li /ul bRequisiti fondamentali /bulli8+ years in software or data engineering or technical implementation with a production data solution /liliBachelor’s degree in Computer Science or equivalent practical experience /liliHands-on experience implementing Salesforce Data 360 or similar data platform across ingestion, modeling, identity, insight, activation, and operations /liliExperience building data pipelines and integrations with enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, Kafka) /liliProficiency in SQL; ability to write and optimize multi-table queries /liliFluency in at least one enterprise language (Apex, Java, Python, or JavaScript/TypeScript) and willingness to learn others /liliUnderstanding of data modeling, APIs, integration patterns, and batch/streaming processing /liliExperience building AI retrieval/app knowledge systems (vector databases, indexing, embeddings) /liliExperience with secure service-to-service integration (OAuth, SAML) and agent protocols (MCP) /liliAbility to implement against documented architecture and communicate with customer technical teams /liliExperience delivering with customers/partners in deadline-driven environments /liliRelevant Salesforce Agentforce/Data 360 certifications (preferred) /li /ululliCustomer-facing collaboration /liliMethodical problem-solving /liliClear communication with technical and non-technical stakeholders /liliData 360 (Data Cloud) experience /liliSQL /liliApex /li /ul