Architect, Data Platform — AgentExchange
Salesforce - California - San Francisco; Washington - Bellevue
Posted May 15, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Source-linked last checked May 7, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Architect, Data Platform — AgentExchange California - San Francisco; Washington - Bellevue Own the data and intelligence architecture for AgentExchange - the marketplace where partners list, sell, and operate Agentforce, MuleSoft, Tableau, and Slack solutions. You are the most senior technical voice for data on the platform. About the Team The AgentExchange Data Services team owns the data infrastructure, telemetry pipelines, marketplace measurement framework, partner analytics platform, and the ML-powered signals that give partners, customers, and Salesforce leadership real-time visibility into how the ecosystem is performing. The team owns product telemetry, self-service metrics, GMV and attrition models, NPS and effort-score measurement, and the Lead Scoring Model for AgentX partners. Why This Role Exists AgentExchange runs on telemetry, partner analytics, and ML signals - and today they live in fragmented pipelines and destinations. We need an architect to consolidate them into one trusted data platform, define the contracts every team builds to, and architect the LLM- and agent-native layer that turns marketplace data into intelligent experiences for partners, customers, and Salesforce leadership. This is a role at the intersection of architecture, strategy, and execution. You will engage with executive stakeholders, represent the data platform in cross-org architecture reviews (VAT), and set the long-term technical direction every data engineer and ML practitioner on the team works toward. What You'll Own End-to-end data architecture. Canonical data model, destination consolidation, telemetry taxonomy, and the 18-month roadmap for the AgentExchange data platform. Pipelines and contracts. Streaming and batch ingestion, schema governance, data contracts enforced across
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