D360 Forward Deployed Engineer
Salesforce1 day ago
Madrid, SpainSenior
Responsibilities
- Configure, develop, test, and deploy Data 360 implementations in customer sandboxes and production environments.
- Build ingestion, harmonization, identity resolution, data integration, and materialized data views across batch and streaming sources.
- Create and maintain RAG, vector database, search index, embedding, and knowledge-base integrations for Agentforce.
- Design and implement MCP and agent-to-agent communication protocols and integrations.
- Apply secure data management, authentication, authorization, governance, and enterprise security controls.
- Create representative test data and validate access boundaries, failure conditions, hierarchy behavior, and customer-scale performance.
- Troubleshoot ingestion failures, schema drift, identity anomalies, query behavior, API errors, permissions, and activation latency.
- Document implementation tradeoffs and package metadata, scripts, queries, tests, and runbooks for deployment and support.
- Co-build with customer teams and partners, support production handoff and stabilization, and surface reproducible platform gaps to Product and Support.
Requirements
- 5+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution that can be explained in detail.
- 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, insight, 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 fluency in at least one of Apex, Java, Python, or JavaScript/TypeScript.
- Understanding of data modeling, APIs, integration patterns, batch and streaming processing, and copied, federated, and Zero Copy data access.
- Experience building retrieval systems such as vector databases, search indexes, embedding pipelines, or knowledge bases for AI applications.
- Experience implementing OAuth, SAML, event-driven architectures, secure data access, permissions, entitlements, consent, user context, and negative test cases.
- Ability to diagnose technical problems methodically, use logs and query evidence, document reproducible results, and implement against documented architectures.
- Experience delivering alongside customers, partners, professional services, or implementation teams in deadline-driven environments.
- Relevant Salesforce Agentforce, Data 360, and Salesforce Platform certifications.
- Willingness and ability to work directly with customer administrators, developers, data engineers, and architects.
Benefits
- Salesforce offers benefits and resources intended to support balance and personal well-being.
- The role includes direct collaboration with customers, partners, architects, deployment strategists, account teams, and technical teams through implementation, handoff, and stabilization.
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.