Data 360 - Principal Forward Deployed Engineer- Italy
Salesforce18 days ago
Milan, ItalyStaff+
Responsibilities
- Configure and develop Data 360 solutions in customer sandboxes and production environments using SQL, Apex, Python, Flow, APIs, SDKs, Salesforce DX, CLI, Git, Data Kits, and deployment tooling.
- Build ingestion, harmonization, identity-resolution, data integration, and data-access solutions across batch and streaming sources.
- Design and maintain RAG, vector database, search index, embedding, and knowledge-base integrations that ground Agentforce solutions.
- Implement MCP and agent-to-agent communication protocols and connect Agentforce with enterprise applications.
- Apply secure authentication, authorization, data governance, and integration patterns using OAuth, SAML, message queues, event-driven architectures, and distributed systems.
- Create representative test data and validate functionality across edge cases, permissions, failure conditions, and customer-scale volumes.
- Diagnose ingestion, schema, identity, query, activation, API, permissions, and consumption issues using logs and query evidence.
- Document implementation tradeoffs, collaborate with customer and partner teams, support deployment and stabilization, and package reusable scripts, metadata, tests, and runbooks.
- Surface reproducible platform gaps and edge cases to Product and Support.
Requirements
- 8+ years of experience in software engineering, data engineering, or technical implementation, including production data-solution experience.
- Bachelor’s degree in Computer Science or equivalent practical experience.
- Hands-on experience implementing Salesforce Data 360/Data Cloud or a comparable enterprise data platform across ingestion, modeling, identity, insights, activation, and operations.
- Hands-on experience with enterprise data platforms or technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or enterprise MDM platforms.
- Proficiency in SQL and experience building, debugging, and optimizing multi-table queries, joins, filters, transformations, and validation checks.
- Fluency in at least one of Apex, Java, Python, or JavaScript/TypeScript, with willingness to learn the others.
- Understanding of data modeling, APIs, integration patterns, batch and streaming processing, and copied, federated, and Zero Copy data access.
- Experience building AI retrieval systems involving vector databases, search indexes, embedding pipelines, or knowledge bases.
- Experience implementing secure service-to-service integrations using OAuth, SAML, event-driven architectures, and emerging agent protocols such as MCP.
- Ability to implement and rigorously test secure data access involving permissions, entitlements, consent, user context, restricted populations, and negative test cases.
- Ability to diagnose technical problems methodically, document reproducible results, implement against documented architectures, and explain implementations to customer technical teams.
- Experience delivering alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments.
- Relevant Salesforce Agentforce, Data 360, and Salesforce Platform certifications are preferred.
Benefits
- Salesforce benefits and resources support balance and personal well-being.
- The position is based in Italy and offers a typical base salary range of EUR 88,200 to EUR 117,900 annually, plus a possible incentive component tailored by grade level.
- Salesforce provides reasonable accommodations during the application and recruiting process.
Tech Stack
Categories
Forward Deployed
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.