Data Architect

Data Architect

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. Proven 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.