Principal Enterprise Architect

Wolters Kluwer

. Serve as the enterprise technical thought leader for Monitoring & Observability .

Posted 11/7/2026full-timeUnited StatesLead💰 $120,000 - $214,350 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in Monitoring & Observability strategy, architecture, and engineering, with a strong focus on developing and executing transformation roadmaps that drive measurable business outcomes. Proficient in leveraging modern observability practices, automation, and AI capabilities to enhance operational intelligence and efficiency.

Highest-signal resume keywords

Monitoring & Observability StrategyAIOps ExperienceInfrastructure as CodeEvent Management & CorrelationCloud Environments (AWS/Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MetricsLogsTracesApplication Performance Monitoring (APM)Service Level Indicators (SLIs)Service Level Objectives (SLOs)Anomaly DetectionOperational AnalyticsAutomationCI/CD

Soft Skills

Exceptional CommunicationStakeholder ManagementStrategic ThinkingInfluencing ExecutivesMentoring

Tools & Technologies

DatadogSplunkDynatraceNew RelicGrafanaPrometheusOpenTelemetryZabbixSolarWindsServiceNow

Certifications & Qualifications

Observability CertificationsCloud CertificationsArchitecture CertificationsAutomation CertificationsSRE CertificationsITIL Certifications

Industry Keywords

MonitoringObservabilityInfrastructure MonitoringNetwork MonitoringDatabase MonitoringITSMOperational TelemetryService MappingConfiguration ManagementPredictive Analytics

Tech Stack

Tools & technologies

AWSAzureCloudGrafanaITSMPrometheusServiceNowSplunk

About the role

Key responsibilities & impact

Serve as the enterprise technical thought leader for Monitoring & Observability
Define enterprise vision, strategy, target-state architecture, roadmap, and transformation priorities
Establish standards and principles for metrics, logs, traces, events, synthetics, application performance, infrastructure, network, database, and end-user observability
Drive the evolution from traditional monitoring and alerting toward full-stack observability and operational intelligence
Evangelize modern observability practices across infrastructure, application, cloud, security, and operations organizations
Lead enterprise Monitoring & Observability transformation initiatives, including modernization, platform consolidation, tool rationalization, integration, automation, and adoption of emerging capabilities
Develop and execute multi-year transformation roadmaps with measurable business and operational outcomes
Identify opportunities to improve monitoring coverage, signal quality, operational efficiency, reliability, and cost
Establish strategies for transitioning legacy monitoring capabilities to modern observability solutions
Lead technology evaluations, proofs of concept, and strategic platform decisions
Establish an Observability Engineering and Enablement capability focused on standards, reusable patterns, automation, and self-service
Define scalable approaches for onboarding applications, infrastructure, cloud platforms, and services
Promote Observability as Code, Infrastructure as Code, APIs, CI/CD, and automation
Establish enterprise standards for monitoring configuration, telemetry quality, alerting, dashboards, data retention, and lifecycle management
Partner with engineering teams to embed observability into application and infrastructure delivery processes
Define intelligent event management strategies including filtering, deduplication, enrichment, correlation, prioritization, and anomaly detection
Evaluate and apply AI/AIOps capabilities to improve operational intelligence and efficiency
Identify opportunities for predictive analytics, automated incident response, and automated remediation
Drive the transition from reactive monitoring toward proactive, predictive, and increasingly automated operations
Establish governance and human oversight for AI-enabled operations
Apply SRE and reliability engineering principles to Monitoring & Observability
Define approaches for SLIs, SLOs, service health indicators, and reliability metrics
Establish end-to-end visibility across applications, infrastructure, cloud, networks, databases, and service dependencies
Use observability data to improve availability, performance, incident response, problem management, and continuous service improvement
Define integration between Monitoring & Observability and CMDB, ITSM, service mapping, incident management, configuration management, and automation
Leverage service and configuration context to improve event correlation, impact analysis, incident assignment, and root-cause analysis
Help establish operational telemetry as a trusted source of information for technology operations and service management
Maintain awareness of emerging observability, AI, automation, cloud, and reliability technologies
Evaluate industry trends and determine where emerging capabilities can provide enterprise value
Lead vendor evaluations and strategic technology decisions while maintaining a platform-agnostic perspective
Establish technology standards and reference patterns supporting long-term enterprise strategy
Develop executive-level strategies, roadmaps, business cases, and transformation recommendations
Influence technology direction across organizational boundaries and build alignment among technical and business stakeholders
Lead complex transformation initiatives involving multiple technology organizations and strategic partners
Mentor architects, engineers, and technical leaders and promote innovation, automation, engineering excellence, and continuous improvement

Requirements

What you’ll need

Deep expertise in enterprise Monitoring & Observability strategy, architecture, engineering, and operations
Strong understanding of metrics, logs, traces, events, synthetics, APM, infrastructure monitoring, network monitoring, database monitoring, and end-user experience monitoring
Experience defining enterprise observability strategies, standards, operating models, and roadmaps
Experience with major observability platforms and technologies such as Datadog, Splunk, Dynatrace, New Relic, Grafana, Prometheus, OpenTelemetry, Zabbix, SolarWinds, or equivalent
Demonstrated experience leading enterprise technology transformation initiatives
Ability to develop technology strategies, future-state visions, roadmaps, standards, and governance frameworks
Proven ability to translate technical capabilities into measurable business and operational outcomes
Experience driving organizational adoption and change across multiple technology teams
Strong understanding of event management, event correlation, noise reduction, anomaly detection, and operational analytics
Experience with AIOps, AI-enabled operations, or automated remediation
Understanding of SRE principles, SLIs, SLOs, reliability engineering, and service health management
Experience with automation, Infrastructure as Code, APIs, CI/CD, GitOps, or similar technologies
Broad understanding of infrastructure, cloud, networking, databases, operating systems, virtualization, containers, and modern application architectures
Experience with AWS and/or Azure environments
Ability to engage credibly with infrastructure, application, cloud, security, architecture, and operations teams
Strong understanding of ITSM and IT operations
Experience integrating observability with CMDB, ServiceNow, service mapping, incident management, and automation platforms
Understanding of how operational data can support broader service management and operational decision-making
Exceptional communication and stakeholder management skills
Ability to influence executives, architects, engineers, operations teams, and vendors
Strong executive presence and strategic thinking
Ability to operate at both the strategic and technical levels
Bachelor's degree in Information Technology, Computer Science, Engineering, or related field (preferred)
10+ years of experience in infrastructure, operations, architecture, monitoring, observability, or related technology disciplines (preferred)
5+ years leading enterprise technology strategy or transformation initiatives (preferred)
Experience leading Monitoring & Observability modernization or transformation
Experience with enterprise observability, AIOps, SRE, OpenTelemetry, or intelligent event management
Relevant certifications in observability, cloud, architecture, automation, SRE, or ITIL (preferred)
Candidates may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process
Participation in interviews without AI tools or external prompts; virtual backgrounds must be removed and interviews include in-person interviews

Benefits

Comp & perks

Bonus eligibility
Medical, Dental, & Vision Plans
401(k)
FSA/HSA
Commuter Benefits
Tuition Assistance Plan
Vacation and Sick Time
Paid Parental Leave