IT Enterprise Data Architect

United StatesRemotemid

Data ArchitectData & AI

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Quick Summary

Key Responsibilities

Owns and continuously evolves the enterprise data model spanning core corporate systems. Designs and governs canonical data objects, entity relationships, data taxonomies,

Technical Tools

Data ArchitectData & AI

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.

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.

Responsibilities

~1 min read

→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.
→Partners closely with Data Engineering and Information Security teams to ensure data quality, governance, compliance, lineage, and protection requirements are met.
→Performs hands-on data analysis, profiling, querying, and validation activities to support architecture decisions and data quality initiatives.
→Establishes and maintains enterprise data standards, governance processes, metadata practices, and architecture documentation.
→Serves as a key contributor to the Data Architecture Working Group and provides guidance on strategic architecture decisions.
→Collaborates with technical and business stakeholders to drive enterprise-wide adoption of data architecture standards and best practices.
→Communicates recommendations, risks, and strategic direction to leadership and cross-functional teams.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Recognized subject matter expert in enterprise data architecture, data modeling, and governance.
Deep experience designing enterprise data models, semantic layers, canonical data structures, and master data strategies.
Advanced knowledge of Salesforce data architecture, including highly customized environments.
Strong hands-on experience with Snowflake, SQL, Microsoft Fabric, and Boomi integration architecture.
Knowledge of data governance, metadata management, lineage, classification, and data quality frameworks.
Experience designing data solutions that support enterprise AI, machine learning, analytics, and automation use cases.
Strong analytical and problem-solving skills with the ability to investigate complex data challenges and drive resolution.
Ability to influence and establish standards across teams without direct authority.
Excellent communication, stakeholder management, and technical documentation skills.
Ability to manage large-scale strategic initiatives independently with limited supervision

Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent professional experience.
10+ years of experience in enterprise data architecture, data modeling, data governance, or related disciplines.
Demonstrated experience with enterprise platforms such as Salesforce, Snowflake, NetSuite, and Boomi.
Experience supporting enterprise AI, analytics, digital transformation, or M&A integration initiatives preferred.
Relevant certifications in Salesforce, Snowflake, Boomi, or enterprise architecture are preferred.

Onsite, Hybrid, or Remote depending on location.
Occasional travel may be required to support business initiatives, stakeholder workshops, or integration activities.
May require communication with senior leadership and cross-functional teams globally.