Data Architect

Job Description

The Data Architect is responsible for defining the structure, standards, and architectural guardrails that govern service and configuration data within the Service-Aware Operating Model. This role establishes how data should be modeled, related, controlled, and consumed so that service-aware workflows, analytics, and automation are built on a coherent and durable foundation. The Data Architect defines the target-state data architecture, design principles, and governance patterns that those operational processes enforce.

Service & Configuration Data Architecture

• Define the target-state architecture for service and configuration data, including class design, relationship patterns, ownership structures, and lifecycle alignment.
• Establish modeling principles that support service-aware visibility, operational usefulness, and long-term maintainability.
• Guide architectural decisions that reduce ambiguity and improve consistency across the service data fabric.

Data Standards, Governance & Design Guardrails

• Create architectural guardrails for how service and configuration data should be structured, governed, and evolved.
• Define standards that prevent model drift, uncontrolled variance, and low-confidence design decisions.
• Partner with governance and engineering teams to translate standards into enforceable processes and platform controls.

Reconciliation & Source-of-Truth Architecture

• Design the principles and patterns used to reconcile data from multiple authoritative and contributing systems.
• Define rules for ownership, precedence, survivorship, and appropriate use of source data within the model.
• Support architectural decisions that improve confidence in how data is merged, maintained, and trusted over time.

Lifecycle, Ownership & Certification Design

• Establish architectural patterns for lifecycle progression, service ownership, certification, and stewardship workflows.
• Ensure the data architecture supports service onboarding, validation, and ongoing operational accountability.
• Create the structural conditions necessary for scalable, repeatable data governance.

Cross-Functional Data Enablement

• Work with service mapping, platform engineering, integration, and governance stakeholders to ensure the data model supports downstream operational and analytical use cases.
• Resolve architectural questions that affect service visibility, dependency understanding, and automation readiness.

Basic Qualifications

• 5+ years' experience in data architecture, CMDB architecture, or enterprise information modeling roles.
• Deep understanding of service and configuration data models, lifecycle governance, and architectural standards.
• Strong ability to define target-state structures, governance patterns, and reconciliation approaches in complex environments.
• Prioritized ability to translate business and operational needs into durable data architecture decisions.
• Must be onsite at the client in one of the following locations: Raleigh, NC; Charlotte, NC; Wilson, NC; Richmond, VA; or Atlanta, GA.

Preferred

• Bachelor's Degree preferred.
• Experience supporting common service data models and service-centric or Service-Aware operating models.
• Familiarity with discovery, monitoring, asset, and operational data sources that contribute to service understanding.
• Background in highly regulated or operationally complex environments.
• Relevant data, architecture, or platform certifications.