connectwise
IT Enterprise Data Architect
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 10+ years
- Posted
- 2026-08-06T17:00:00-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Regulatory
Responsibilities
Owns and continuously evolves the enterprise data model spanning core corporate systems.
Designs and governs canonical data objects, entity relationships, data taxonomies, and classification standards.
Establishes enterprise-wide field-level mapping standards and integration design principles across systems and through the Boomi integration platform.
Defines semantic and canonical data layers that support enterprise analytics, AI, and automation initiatives.
Provides architecture leadership for Salesforce, Snowflake, NetSuite, and other enterprise platforms.
Leads data architecture activities related to mergers and acquisitions, including data mapping, integration strategy, and enterprise data alignment.
About the Company
Game-changers, innovators, culture-lovers—and humankind.
We invite discovery and debate. We recognize key moments as milestones.
We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference.
Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise!
General Summary:
The IT Enterprise Data Architect is responsible for defining, governing, and evolving ConnectWise's enterprise data architecture across the internal technology estate. This role establishes enterprise data models, canonical and semantic data layers, data classification standards, and field-level mapping frameworks that enable reliable business operations, analytics, integrations, and AI initiatives. The role works in partnership with Internal IT, Data Engineering, Information Security, Business Applications, Integration, and Product & Engineering teams to ensure enterprise-wide data consistency, governance, interoperability, and strategic alignment.