ConnectWise Logo

ConnectWise

IT Enterprise Data Architect

Posted One Month Ago
Remote
Hiring Remotely in US
Expert/Leader
Remote
Hiring Remotely in US
Expert/Leader
Define and govern enterprise data architecture, models, canonical and semantic layers, field-level mappings, and data governance. Partner with IT, Data Engineering, Security, and product teams to ensure data quality, lineage, integrations (Boomi), and platform alignment (Salesforce, Snowflake, NetSuite). Lead M&A data activities, perform hands-on data profiling and validation, and drive adoption of enterprise data standards to support analytics, AI, and automation initiatives.
The summary above was generated by 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.

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.
  • 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.

Knowledge, Skills, and/or Abilities Required:

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.

Working Conditions:

  • 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.

ConnectWise is an Equal Opportunity Employer, dedicated to building a diverse and inclusive workforce and providing a workplace free from discrimination and harassment. ConnectWise provides equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, religion, age, sex (including pregnancy), sexual orientation, gender, gender identity or expression, ancestry, national origin, citizenship status, physical or mental disability, genetic information, military/veteran status, marital status, familial or parental status, or any other characteristic or status protected by applicable federal, state and local laws.

The statements above are intended to describe the general nature and level of work being performed by individuals assigned to this job. Other duties may be assigned as needed. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job and/or to receive other benefits and privileges of employment. If you need a reasonable accommodation for any part of the application and hiring process, please contact us at [email protected] or 1-800-671-6898.

Similar Jobs

25 Minutes Ago
In-Office or Remote
IN, USA
170K-170K Annually
Senior level
170K-170K Annually
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while building evaluation infrastructure, observability tools, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. Diagnose agent failures, evaluate models and prompts, improve quality, latency, and cost, and partner with AI Core engineering. This is a hands-on player-coach role involving technical direction, team management, and production software development.
Top Skills: Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdDatasetsLangsmithLlmsMachine Learning EvaluationModel RoutingObservability ToolingPythonRuby On Rails
26 Minutes Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
155K-222K Annually
Senior level
155K-222K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Build and expand strategic relationships with SLED technology partners, create joint go-to-market activities and sales pipeline, develop regional campaigns, deliver partner enablement, influence partner sales strategies, map decision-makers, support technical practices, and manage alliance selection, performance, compliance, and contractual obligations. The role requires enterprise SaaS sales and channel alliances experience, quota achievement, AI/ML familiarity, and travel.
Top Skills: Ai/MlCloud SecurityGenerative AiLlmsSaaSSaseZero Trust
28 Minutes Ago
Remote
United States
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Energy • Infrastructure as a Service (IaaS)
Build and own Riot’s governance program, including the ISO 27001:2022 documentation framework, enterprise policy library, regulatory horizon scanning, contracts management, third-party risk management, and framework mappings across SOC 2, SOX, NIST CSF, and applicable regulations. The role drives policy adoption, attestation, vendor due diligence, contract risk workflows, and alignment of site-level operational, physical security, and environmental policies.
Top Skills: DoraIso 27001:2022Nis2Nist CsfSoc 2Sox

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account