Architect, Data Platform — Agentexchange

Salesforce UK

Base: $218,400 - $365,200 annually (up to $401,400...
Onsite
12+ years software or data engineering experience
Enterprise-scale data or ml platform ownership
Lakehouse, warehouse design, streaming batch pipelines
This role requires owning the end-to-end data architecture to consolidate fragmented pipelines into one trusted platform for AgentExchange

Job Summary

  • This role requires owning the end-to-end data architecture to consolidate fragmented pipelines into one trusted platform for AgentExchange.
  • The successful candidate will architect an LLM and agentic data layer including MCP servers, RAG strategies, and safety guardrails.
  • Salesforce offers competitive compensation ranging from $218,400 to $365,200 annually plus equity and comprehensive benefits.

Matching Summary

This role requires owning the end-to-end data architecture to consolidate fragmented pipelines into one trusted platform for AgentExchange.

Salary

Base: $218,400 - $365,200 annually (up to $401,400 in SF/NYC); Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k), paid parental leave, stock purchasing program

Skills & Requirements

Must-have

  • 12+ years software or data engineering experience
  • Enterprise-scale data or ML platform ownership
  • Lakehouse, warehouse design, streaming batch pipelines
  • Production LLM systems RAG embeddings vector stores
  • MCP or equivalent tool agent protocols knowledge
  • PII classification multi-tenant isolation GDPR CCPA
  • Cross-org technical leadership in architecture forums

Nice-to-have

  • Salesforce Data 360 Tableau Next Slack MuleSoft
  • Marketplace e-commerce GMV attrition conversion funnels
  • Large-scale cloud migrations with zero disruption
  • Privacy-preserving ML differential privacy synthetic data
  • Agent evaluation frameworks LLM observability traces
  • Familiarity with Salesforce Platform features best practices

Key Requirements

  • Related technical degree required
  • 12+ years in software/data engineering
  • Deep architecture experience in lakehouse/streaming/feature stores
  • Proven track record representing technical domains cross-org

Work Rights

Not specified

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