IT Enterprise Data Architect

Position:
IT Enterprise Data Architect

Company:
ConnectWise

Location:
US-Remote

Employment type:
Not Specified

Work Arrangement:
Onsite, Hybrid, or Remote depending on location

Short 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.

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.
- 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.

Requirement:
- 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.

Benefits:
Not Specified