IT Enterprise Data Architect

About this role

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences.

Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds. 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. Essential Duties and 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.