Architect, Service & Operational Data
$137,100–$254,700 year
Hybrid · Eagan, Minnesota, United States
Job Summary
As an Architect for Service & Operational Data, you will design and lead the data architecture essential for service reliability and operational visibility. Your responsibilities include defining the operational data strategy, designing data models, establishing reliable data pipelines, and creating operational data products. This role requires collaboration with diverse teams, providing mentorship, and implementing governance for sensitive operational data. Required qualifications include over 8 years in data architecture, hands-on expertise with modern data stacks, and a strong grasp of service operations.
Required Qualifications
- 8+ years in data architecture, platform/analytics engineering, or operational analytics (with 3+ years in a lead/architect role).
- Proven experience designing enterprise data architectures (batch + streaming) and delivering scalable data platforms.
- Strong understanding of service operations and reliability concepts: ITIL/ITSM, incident/change/problem workflows, SLOs/SLIs, event management, and operational KPIs (e.g., MTTR, CFR).
- Hands-on expertise with modern data stack components: Data modeling (dimensional, Data Vault, domain/event-driven patterns), ETL/ELT and orchestration, Data quality/testing frameworks, Metadata, lineage, and cataloging, Strong SQL and at least one programming language (Python strongly preferred).
- Experience with cloud data ecosystems (AWS/Azure/GCP) and security fundamentals.
- Excellent communication skills and ability to align diverse teams around standards and measurable outcomes.
Desired Qualifications
- Experience integrating operational tooling such as ServiceNow, Jira Service Management, PagerDuty/Opsgenie, Dynatrace/New Relic/Datadog, Splunk/Elastic, Prometheus/Grafana, OpenTelemetry.
- Streaming/event technologies (e.g., Kafka/Kinesis/PubSub) and real-time analytics patterns.
- Knowledge graph / topology modeling for service dependency mapping.
- Experience enabling AIOps use cases: correlation, deduplication, anomaly detection, incident prediction.
- Familiarity with FinOps or capacity/cost analytics tied to service health.
- Certifications (cloud, data, ITIL) are a plus.
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