Enterprise Application Data Architect, GTM Systems

Role Overview

The Growth and Support Services team is responsible for building and maintaining the systems, data foundations, and operational processes that support our go-to-market and customer-facing teams. As a Data Architect, you will define and improve the data architecture supporting our go-to-market systems and enterprise CRM environment.

What You Will Do

Define the target architecture for customer, account, contact, lead, opportunity, activity, campaign, and support data. Assess and improve Salesforce data across the lead-to-support lifecycle. Design canonical data models, entity relationships, identity-resolution rules, and system-of-record definitions.

Why It Might Be a Fit

You should have deep expertise in enterprise data architecture, data management, data engineering, or a related technical discipline. You should have strong hands-on experience with Salesforce data architecture, including leads, contacts, accounts, opportunities, activities, campaigns, and support-related objects.

Requirements

• Deep expertise in enterprise data architecture, data management, data engineering, or a related technical discipline
• Strong hands-on experience with Salesforce data architecture, including leads, contacts, accounts, opportunities, activities, campaigns, and support-related objects
• Experience designing batch, API-based, event-driven, and reverse-ETL integrations
• Advanced SQL skills
• Understanding of relational databases, cloud data warehouses, APIs, data pipelines, integration platforms, and distributed data systems
• Experience defining data-quality rules, observability controls, reconciliation processes, and measurable service-level expectations
• Experience with Salesforce and several of the following platforms: Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate
• Experience integrating CRM data with cloud data warehouses and business intelligence environments
• Familiarity with data contracts, schema versioning, change-data capture, and event-driven architecture
• Experience managing sensitive customer and prospect data in accordance with privacy, security, and retention requirements

Benefits

• Relocation assistance
• Hybrid work model
• Equal opportunity employer
• Reasonable accommodations for applicants with disabilities
• Background checks for applicants
• Global Applicant Privacy Policy