D360 Forward Deployed Engineer
Salesforce1 day ago
Barcelona, Spain or Madrid, SpainSenior
Responsibilities
- Build and deploy Data 360 implementations in customer sandboxes and production using configuration, SQL, Apex, Flow, Python, APIs, Salesforce DX, CLI, Git, Data Kits, and deployment tooling.
- Build ingestion, harmonization, identity-resolution, and data-integration pipelines across batch and streaming sources.
- Materialize and tune data views for application, analytical, and agentic workloads while balancing latency, cost, and scale.
- Create representative test data and validate happy paths, edge cases, access boundaries, hierarchy behavior, failures, and customer-scale volumes.
- Build retrieval systems using RAG, vector databases, search indexes, embedding pipelines, and knowledge bases to ground Agentforce solutions.
- Design and implement MCP and agent-to-agent communication protocols and integrations among specialized AI agents.
- Apply data-management, transformation, governance, authentication, and authorization practices across Salesforce, Data Cloud, CRM, and external systems.
- Troubleshoot ingestion, mapping, schema, identity, query, activation, API, permissions, and consumption issues using logs and query evidence.
- Compare implementation techniques, document tradeoffs, and provide recommendations to architects or technical leads.
- Collaborate with customers and partners through pairing and reviews, and package metadata, scripts, queries, tests, and runbooks for deployment and handoff.
- Surface reproducible platform gaps and edge cases to Product and Support.
Requirements
- At least 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.
- Experience building data pipelines and integrations with technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
- Proficiency in SQL, including multi-table queries, joins, filters, transformations, optimization, 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 retrieval systems for AI applications, including vector databases, search indexes, embedding pipelines, or knowledge bases.
- Experience implementing OAuth, SAML, event-driven integrations, secure data access, permissions, entitlements, consent, user context, restricted populations, and negative test cases.
- Ability to diagnose technical problems methodically, isolate product behavior from configuration errors, and document reproducible results.
- Experience implementing against documented architectures and recognizing when issues require an architect or security owner.
- 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 provides benefits and resources intended to support balance and employee well-being.
- Salesforce provides accommodations during the application and recruiting process upon request.
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.