Senior Data Architect (Data Architecture)

TL;DR

Sr. Data Architect (AI): Defining and maintaining the reference architecture, data flow patterns, and canonical schemas enabling zero-copy, domain-driven interoperability across Salesforce applications with an accent on data interoperability and activation across Salesforce. Focus on driving business impact by powering revenue-generating activation use cases across Marketing, Sales, and Service.

Location: San Francisco, California or Seattle, Washington, United States.

Company

hirify.global is enabling standardized, governed, and secure data flows across applications and domains.

What you will do

• Lead architecture for Unified Activation Services (UAS).
• Standardize and scale data activation, establishing frameworks for reusable data activation pipelines.
• Drive Data Mesh principles within UAS, enabling decentralized innovation while maintaining global consistency.
• Design data architectures that accelerate AI/ML enablement and consumption.
• Partner with the UAS product and engineering teams to deliver on the overall roadmap, ensuring architectural alignment.
• Collaborate with cross domain architects, engineering, and business partners across Marketing, Sales, Service, and Platform.

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.
• Experience working with Customer Data Platform (CDP) systems is required.
• Deep expertise with AI/ML and semantic technologies.
• Proficiency in Salesforce technologies, including Flows, Apex, hirify.global, and experience with Salesforce Data Cloud implementations.

Nice to have

• Experience working with Salesforce Data360/Datacloud and Marketing Applications.
• Deep functional knowledge of the Marketing & Sales domain.
• Excellent communication, storytelling, and influence skills.

Culture & Benefits

• Opportunity to shape how Salesforce activates trusted data across its ecosystem.
• Reducing cost, improving data consistency, and accelerating AI adoption enterprise-wide.
• Leave a lasting mark on Salesforce’s data future.