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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 role does not perform day-to-day reporting or operational data fixes. It defines the structure, standards, and guardrails that others operate within.
Job Responsibility:
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
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
Partner with integration engineers to define data contracts, schemas, and transformation rules
Ensure data models support reporting, BI, and downstream analytics use cases
Review and approve data design decisions for new integrations and ERP modules
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
Requirements:
Strong (5+ years) experience designing enterprise data models in ERP and operational environments
7+ years Hands-on experience with relational databases and modern analytics platforms
Experience defining data standards, governance models, and data ownership frameworks
5+ years Experience supporting ERP implementations and system integrations
Ability to translate business processes into logical and physical data models
Nice to have:
Experience in construction, field services, or project-based ERP environments
Experience with multi-entity, multi- ERP rollouts
Familiarity with data lakes, warehouses, and modern BI stacks
Experience working with integration platforms and event-based or API-driven architectures