Enterprise Data Management Architect 3649590 (Phoenix, AZ)
Summary
Design and govern enterprise-wide data architecture, standards, and governance frameworks for a multi-entity organization, ensuring scalable data models and trusted analytics across systems.
Be Part Of A High-Performing Team
Join a growing national organization delivering infrastructure, technology, energy, and commercial building solutions across a network of specialized operating companies. The organization combines local operating expertise with enterprise-wide technology and business transformation initiatives, creating an environment centered on collaboration, service, integrity, and sustainable growth. This corporate-level position will play an influential role in strengthening how data is governed, connected, and utilized across a complex multi-entity environment.
What's In Store For You
- Fully remote opportunity with occasional travel for workshops, stakeholder meetings, or project support.
- Senior individual contributor position with significant strategic and technical influence across technology, finance, operations, analytics, and integration teams.
- Opportunity to establish enterprise-wide data architecture standards and shape the organization's long-term data strategy.
- Exposure to major business and technology transformation initiatives spanning multiple operating companies and enterprise platforms.
- Comprehensive health, dental, and vision benefits, along with retirement savings and paid time off programs.
- Professional development through hands-on learning, mentorship, and advancement opportunities across a nationwide organization.
How You Will Make An Impact
- Define and evolve the enterprise data architecture and long-term data strategy supporting a complex multi-company environment.
- Establish scalable approaches for how enterprise data is modeled, governed, integrated, stored, and consumed across business systems.
- Design and govern conceptual, logical, and physical data models, enterprise data flows, standards, and architectural patterns.
- Create data governance frameworks covering data ownership, quality, metadata, master data, and enterprise standards.
- Define reference architectures for data integration, cloud data platforms, data lakes and warehouses, semantic layers, and analytics environments.
- Partner with analytics, integration, finance, operations, and business stakeholders to ensure trusted data supports operational reporting, financial reporting, and advanced analytics.
- Provide architecture leadership for enterprise transformation initiatives involving system implementations, migrations, and modernization.
- Assess current data environments, identify architectural gaps and technical debt, and create actionable future-state roadmaps.
- Guide technology and vendor teams in selecting and implementing scalable data platforms, integration approaches, and supporting tools.
- Establish sustainable architecture documentation, data dictionaries, standards, and reusable knowledge assets.
- Expand the organization's ability to use self-service analytics and trusted enterprise data products.
- Serve as a senior technical advisor for complex data architecture, governance, integration, and analytics challenges.
Do You Have the Expertise to Lead in Enterprise Data Architecture and Governance?
- 8+ years of progressive experience across enterprise data architecture, data management, data engineering architecture, or closely related disciplines.
- Demonstrated hands-on architecture and implementation experience, rather than experience limited to strategy or oversight.
- Advanced understanding of conceptual, logical, and physical data modeling.
- Strong enterprise data governance experience, including data quality, data ownership, metadata management, and master data management.
- Proven ability to develop and implement enterprise data strategies supporting reporting, analytics, and operational business processes.
- Experience designing modern data ecosystems involving data warehouses, data lakes, cloud data platforms, ETL/ELT pipelines, integration patterns, and semantic/reporting layers.
- Experience navigating complex multi-system or multi-entity technology environments.
- Strong understanding of integration architecture and enterprise applications such as ERP, project management, financial, or field-service platforms.
- Ability to translate sophisticated data architecture concepts into clear recommendations for both technical and non-technical stakeholders.
- Demonstrated ability to influence cross-functional teams and drive adoption of enterprise standards without direct supervisory authority.
- Strong documentation, analytical thinking, communication, and stakeholder-management skills.
- Ability to balance immediate business requirements with long-term architectural scalability and governance.
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline preferred; equivalent professional experience considered.
- Experience with Azure, AWS, or GCP data architectures is preferred.
- Exposure to Power BI, Tableau, or comparable analytics platforms is preferred.
- Experience within construction, mechanical services, facilities management, or another multi-entity/project-based organization is advantageous.
- Familiarity with platforms such as Sage Intacct, Procore, BuildOps, or comparable enterprise applications is highly valuable.
- Relevant data architecture, data management, or cloud certifications are beneficial.