Pre-sales Data And Ai Architect - Solution Engineering (united States)

Salesforce

New York, United States
Base: $173,460 - $231,980 annually; base: $190,750...
Hybrid
Data and ai architecture design
Enterprise data integration
Cloud data platforms expertise
This role sits at the intersection of data engineering, platform architecture, and applied AI, working directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions

Job Summary

  • This role sits at the intersection of data engineering, platform architecture, and applied AI, working directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions.
  • You will own the technical architecture end-to-end: from deep discovery and system design, through hands-on validation, to production readiness and long-term scalability, establishing the data foundation required for trusted AI, agentic workflows, and measurable business outcomes.
  • Salesforce offers a variety of benefits to help you live well including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

Matching Summary

This role sits at the intersection of data engineering, platform architecture, and applied AI, working directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions.

Salary

Base: $173,460 - $231,980 annually; Base: $190,750 - $255,150 per year in CA/NY/select cities; Bonus/Equity: company bonus, incentive for sales roles, equity as applicable; Benefits: medical, dental, vision, mental health support, paid parental leave, 401(k), ESPP

Skills & Requirements

Must-have

  • Data and AI architecture design
  • Enterprise data integration
  • Cloud data platforms expertise
  • Salesforce D360 platform
  • Technical architecture leadership
  • Hands-on technical validation

Nice-to-have

  • Driving innovation
  • Customer success focus
  • Agentic era transformation
  • Industry-specific reference architectures

Key Requirements

  • 7+ years of hands-on experience
  • BS in Computer Science or equivalent
  • Experience with modern cloud data platforms
  • Proficiency with Python/R
  • Salesforce platform architecture knowledge

Work Rights

Not specified

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