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 - Bachelors 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. Education: Bachelors Degree
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- Dice Id: compun
- Position Id: KUMDC5831840
- Posted 3 hours ago
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