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Information Technology and Computer Jobs

ServiceNow Data Architect

Mindlance

Raleigh, NC

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JOB DETAILS
SKILLS
Architectural Design, Architectural Services, Automation, Business Operations, Business Skills, Cross-Functional, Customer Support/Service, Data Modeling, DataArchitect Data Modeling Tool, Information Models, Onboarding, Operational Audit, Operational Support, Operations Processes, Reconciliation, Service Delivery, ServiceNow, Standards Development, Stewardship, Telemetry, Use Cases
LOCATION
Raleigh, NC
POSTED
6 days ago
Description:
Business Initiative/Purpose: (Goal, Business Impact, Accomplishments from the work)
  • Deliver a Service Aware Organization by standardizing service identity, ownership, dependencies, telemetry, and controls into a machinereadable model that enables endtoend visibility, enforced accountability, and scalable, automationdriven operations.

Bachelor Degree: (Required, Preferred or Not Required)
  • Preferred.

Role Responsibilities: (what they will be doing)
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.

Must Have Skills/Prior Experiences: (Vendor should not submit any candidate that does not have these skills/prior experience.)
Extensive 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. .

Plus/Nice to Have Skills/Prior Experiences: (Hiring Manager DOES NOT require these skills/ prior experience. However candidates with any of these will be looked at first.)
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.
.
EEO
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

About the Company

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Mindlance

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