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# Data Architect

- **Company:** Robert Half
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Application Services, System Configuration, Data Architecture, Data Governance, Data Migration, Data Systems, Relational Databases, Project Management Software, Operational Data Store, Reference Data, SAP FI, Systems Integration, Transaction Data, Software Modules, Operational Systems, Data Management
- **Published:** July 3, 2026
- **Apply:** https://dejobs.org/x/x/2D3A0945485C4A8E842EC36FEC24E040/job/

## About the Role

* 5+ years of experience designing enterprise data models in ERP and operational environments.
 * 7+ years of hands-on experience with relational databases and modern analytics platforms.
 * Experience defining data standards, governance models, and data ownership frameworks.
 * 5+ years of experience supporting ERP implementations and system integrations.
 * Ability to translate business processes into logical and physical data models.
Technology Doesn't Change the World, People Do.®

## Description

The Data Architect is responsible for defining, governing, and evolving the organization's enterprise data architecture across ERP, operational systems, and analytics platforms. This role ensures data consistency, scalability, and integrity as the organization executes ERP implementations and OpCo rollouts.

This position does not perform day-to-day reporting or operational data fixes. Instead, it defines the structure, standards, and guardrails that others operate within., Data Architecture and Design

 * Define and maintain enterprise data models across ERP, operational, and analytics platforms.
 * Design canonical data models for core domains such as customers, vendors, jobs, projects, financials, and assets.
 * Define data relationships and ownership across BuildOps, Procore, ERP finance, and downstream analytics systems.
 * Establish standards for master data, reference data, and transactional data.

Data Governance and Quality

 * Define data ownership, stewardship, and accountability by domain.
 * Establish data quality rules, validation standards, and reconciliation frameworks.
 * Partner with Applications Management and Operations Success Managers to align system configuration with data standards.
 * Define auditability and traceability standards for financial and operational data.

Integration and Analytics Enablement

 * Partner with integration engineers to define data contracts, schemas, and transformation rules.
 * Ensure data models support reporting, business intelligence, and downstream analytics use cases.
 * Review and approve data design decisions for new integrations and ERP modules.

ERP and Implementation Support

 * Support ERP implementations by validating data design, mappings, and cutover readiness.
 * Review data migration strategies to ensure alignment with target-state architecture.
 * Provide architectural guidance during fit-gap, design, and testing phases.


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