Sr. Data Architect - Unified Activation Services

Salesforce

Base: $197,300 - $313,700 annually; bonus/equity: ...
**
10+ years data architecture experience
Customer data platform (cdp) expertise
Real-time data ingestion and transformation
** Salesforce is seeking a Senior Data Architect for their Unified Activation Services team to lead the design of scalable data architectures that enhance data interoperability across various domains. The ideal candidate should have extensive experience in data architecture, data engineering, and proficiency with AI/ML technologies, among other requirements. This role offers the opportunity to significantly impact Salesforce's data activation strategies while enjoying a range of employee benefits. **

Job Summary

  • This role leads the architecture for Unified Activation Services to enable standardized, governed, and secure data flows across Salesforce applications.
  • The position requires deep expertise in AI/ML semantic technologies and the ability to design data architectures that accelerate AI adoption enterprise-wide.
  • Candidates will drive business impact by powering revenue-generating activation use cases across Marketing, Sales, and Service domains while mentoring other architects.

Matching Summary

Match Score: 75

** Salesforce is seeking a Senior Data Architect for their Unified Activation Services team to lead the design of scalable data architectures that enhance data interoperability across various domains. The ideal candidate should have extensive experience in data architecture, data engineering, and proficiency with AI/ML technologies, among other requirements. This role offers the opportunity to significantly impact Salesforce's data activation strategies while enjoying a range of employee benefits. **

Salary

Base: $197,300 - $313,700 annually; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k), paid parental leave

Skills & Requirements

Must-have

  • 10+ years data architecture experience
  • Customer Data Platform (CDP) expertise
  • Real-time data ingestion and transformation
  • Salesforce Data Cloud implementation
  • AI/ML semantic technologies knowledge
  • Canonical schemas and integration architecture

Nice-to-have

  • Marketing and Sales domain knowledge
  • Experience with Salesforce Flows and Apex
  • Strong storytelling and influence skills
  • Heroku platform experience
  • MuleSoft and Tableau proficiency

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 10+ years of experience in data architecture or engineering roles
  • Proven software and data engineering skills for large-scale systems

Work Rights

Not specified

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