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Salesforce

Architect, Data Platform

Salesforce

Architecting data platform strategy at Salesforce to consolidate data and create intelligent experiences for partners and customers in the AgentExchange marketplace.

Posted 5/16/2026full-timeSan Francisco • California, Washington • 🇺🇸 United StatesSeniorLead💰 $218,400 - $365,200 per year},Website

Tech Stack

Tools & technologies
Amazon RedshiftAWSBigQueryCloud

About the role

Key responsibilities & impact
  • Own the data and intelligence architecture for AgentExchange
  • Engage with executive stakeholders and represent the data platform in cross-org architecture reviews
  • Set the long-term technical direction every data engineer and ML practitioner works toward
  • Define the contracts every team builds to
  • Architect the LLM- and agent-native layer that turns marketplace data into intelligent experiences for partners
  • Drive the data components of existing pipeline migration with zero disruption

Requirements

What you’ll need
  • 12+ years in software / data engineering
  • multi-year ownership of an enterprise-scale data or ML platform
  • Deep architecture experience in at least three of: lakehouse / warehouse design, streaming + batch pipelines, dimensional and event modeling, feature stores, model serving
  • Cloud-native data infrastructure: Snowflake, BigQuery, Redshift, or Databricks; AWS-based platforms
  • LLM systems experience, in production
  • Working knowledge of MCP or equivalent tool / agent protocols
  • Data security and governance as a first-class skill
  • Track record representing a technical domain in cross-org architecture forums
  • Executive communication skills
  • A related technical degree required

Benefits

Comp & perks
  • time off programs
  • medical, dental, vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringML platform ownershiplakehouse designwarehouse designstreaming pipelinesbatch pipelinesdimensional modelingevent modelingfeature storesmodel serving
Soft Skills
executive communicationstakeholder engagementcross-org collaborationtechnical representation
Certifications
related technical degree