Data360 FDE

Salary: £62,000 - 102,000 per year

Requirements:

• We have 5+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution we can explain in detail.
• We have a bachelors degree in Computer Science or equivalent practical experience.
• We have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
• We have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
• We are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks.
• We are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed.
• We understand data modeling, APIs, integration patterns, batch and streaming processing, and the practical differences between copied, federated, and Zero Copy data access.
• We have built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance.
• We have implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication.
• We can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases.
• We diagnose technical problems methodically, use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result.
• We can implement against a documented architecture, explain what we built to customer technical teams, and recognize when a question requires an architect or security owner.
• We have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments.
• We are excited to work directly with customer administrators, developers, data engineers, and architects.
• We have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform.

Responsibilities:

• We build directly in customer environments, configuring and developing in customer sandboxes and production using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required.
• We engineer the data layer by building ingestion, harmonization, and identity resolution across batch and streaming sources, and by materializing views optimized for application, analytical, and agentic workloads.
• We create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
• We design, build, and maintain the AI data integration layer, including RAG, vector databases, search indexes, and knowledge bases, to ground Agentforce solutions in accurate, real-time enterprise data.
• We design and implement protocols such as MCP and agent-to-agent communication to govern, monitor, and enable efficient collaboration among specialized AI agents.
• We implement robust, scalable, and secure data integration patterns that connect Agentforce to enterprise applications and enable communication between AI agents.
• We apply data management expertise to ensure secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem and external systems.
• We use knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and secure authentication and authorization protocols.
• We troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues.
• We compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead.
• We use AI tooling, including Data 360 APIs and MCP Servers, to automate the build process and shorten time to value.
• We work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews.
• We package reusable metadata, scripts, queries, tests, and runbooks so solutions can be reproduced and supported.
• We support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations.
• We surface reproducible platform gaps and edge cases with live evidence, impact, and expected behavior to Product and Support.

Technologies:

• AI
• AI Agents
• Apex
• API
• Redshift
• Architect
• BigQuery
• Cloud
• CRM
• Databricks
• Flow
• Git
• Support
• Java
• JavaScript
• Kafka
• MCP
• OAuth
• Python
• RAG
• REST
• SAML
• SQL
• Salesforce
• Security
• Snowflake
• TypeScript
• Fabric

More:

We are Salesforce, the #1 AI CRM, bringing customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions, and in this role we help customers put Data 360 into production to build the technical foundation for reliable, enterprise-grade use cases. This is a hands-on Forward Deployed Engineer role focused on Data 360, Salesforces real-time data engine that unifies data from any source. We work within delivery teams alongside architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams on engagements that may span proof, production rollout, and stabilization. The role is based in the United Kingdom, London, and is full time. Our benefits and resources support balance and help us be our best, and our AI agents are designed to accelerate impact. We are committed to an inclusive recruitment process, an equal opportunity workplace, and accessibility support, including a Disability Confident hiring approach in the UK.

last updated 36 week of 2026