Salesforce

Senior Data Architect – Unified Activation Services

Salesforce

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California, Washington • 🇺🇸 United States

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Salary

💰 $211,500 - $306,600 per year

Job Level

Senior

Tech Stack

CloudHerokuTableau

About the role

  • Lead architecture for Unified Activation Services (UAS): Define and maintain the reference architecture, data flow patterns, and canonical schemas enabling zero-copy, domain-driven interoperability across Salesforce applications
  • Standardize and scale data activation: Establish frameworks for reusable data activation pipelines (batch, streaming, API-based), ensuring consistency, compliance, and reuse across domains
  • Drive Data Mesh principles: Embed data mesh practices - domain ownership, data contracts, product thinking - within UAS, enabling decentralized innovation while maintaining global consistency
  • Enable AI/ML-ready data ecosystems: Design data architectures that accelerate AI/ML enablement and consumption - ensuring discoverable, high-quality, semantically enriched, and contextually governed data assets
  • Wear the Customer Zero hat: Act as an early adopter of Salesforce platforms and solutions within UAS, applying and validating architectural patterns in real-world scenarios
  • Work closely with product architecture teams to share feedback, lessons learned, and insights from UAS implementations, ensuring that reference architectures and activation patterns are practical, scalable, and aligned across domains
  • Partner closely with the UAS product and engineering teams to deliver on the overall roadmap, ensuring architectural alignment and successful execution of initiatives defined by the UAS product team
  • Champion enterprise governance and compliance: Enforce data standards, lineage, and policy controls while reducing tech debt and ensuring architectural guardrails are followed
  • Bridge across domains: Collaborate with cross domain architects, engineering, and business partners across Marketing, Sales, Service, and Platform to ensure seamless activation and interoperability
  • Leverage enterprise tools and building blocks: Drive adoption of approved technologies (i.e. Salesforce Data Cloud, MuleSoft, Tableau, etc.) to standardize data activation and delivery
  • Mentor and influence: Partner with other domain architects to share best practices, patterns, and frameworks for unified data activation and governance

Requirements

  • 10+ years of experience in data architecture, data engineering, or enterprise architecture roles
  • Strong expertise in data modeling, data activation, canonical schemas, and integration architectures across cloud and SaaS environments
  • Proven software and data engineering skills including designing and managing large-scale, real-time pipelines to support business-critical applications
  • Experience working with Customer Data Platform (CDP) systems is required, with a focus on real-time data ingestion, transformation, and activation
  • Deep understanding of data governance, metadata management, and interoperability standards
  • Proven ability to define reference architectures and reusable patterns that accelerate delivery and reduce technical debt
  • Experience collaborating across domains to drive data standardization and activation frameworks
  • Deep expertise with AI/ML and semantic technologies (ontologies, knowledge graphs, data fabric, data mesh concepts) is a must have
  • Proficiency in Salesforce technologies including Flows, Apex, Heroku and experience with Salesforce Data Cloud implementations
  • Experience working with Salesforce Data360/Datacloud and Marketing Applications is a huge plus
  • Deep functional knowledge of the Marketing & Sales domain is a plus
  • Excellent communication, storytelling, and influence skills - able to translate complex technical ideas into clear business value
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
  • Life and disability insurance
  • Medical, dental, vision benefits
  • Paid parental leave
  • Employee stock purchasing program

Applicant Tracking System Keywords

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

Hard skills
data architecturedata engineeringdata modelingdata activationcanonical schemasintegration architecturesreal-time pipelinesdata governancemetadata managementAI/ML
Soft skills
communicationstorytellinginfluencecollaborationmentoring