JOB SUMMARY
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.
Key Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
Required Qualifications
- Overall 15+ years of IT experience
- 12+ 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 Qualifications
- Bachelor’s Degree.
- 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.
Certifications
- Relevant data, architecture, or platform certifications.