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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Enterprise Data Architect - **Company:** Connectwise, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Application Integration Architecture, Cyber Security, Information Systems, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Mapping, Data Structures, Data Systems, Machine Learning, Meta-Data Management, Netsuite, Salesforce.Com, SQL Databases, Enterprise Data Management, Snowflake, Boomi, Data Layers, Microsoft Fabric, Information Technology, Integration Frameworks, Data Management, Data Objects - **Published:** August 7, 2026 - **Apply:** https://www.workingnomads.com/job/go/1776320/ ## About the Role 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 Educational/Vocational/Previous Experience Recommendations: * 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. ## Description * 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. ## Related Videos - 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