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Senior Stardog Database Administrator

Vizient · Chicago, IL · $102,400–$179,000 a year · Full time

Posted Sep 30, 2026 · We last checked this listing on Oct 5, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you worked with architects or data governance teams on an ontology change.

What they are checking: Whether they collaborate well with modelers and understand how ontology changes affect the database.

What would you do

The production graph goes down during a busy reporting period. What do you do?

What they are checking: Whether they stay calm, restore service quickly and communicate clearly with users.

About the work

Walk me through how you'd install and configure a Stardog cluster for production high availability.

What they are checking: Whether they have real hands-on experience running Stardog reliably in production.

A SPARQL query that used to run in seconds now takes minutes. How would you troubleshoot it?

What they are checking: Whether they can read query plans, check indexes and reasoning settings to find performance problems.

How does turning on reasoning affect query performance, and how do you manage that?

What they are checking: Whether they understand the cost of semantic reasoning and how to tune or scope it.

What's your backup and disaster recovery approach for a knowledge graph?

What they are checking: Whether they plan and test recovery so a failure doesn't cost the organization its graph data.

How would you use SHACL to validate healthcare data in the graph?

What they are checking: Whether they can enforce data quality rules in a semantic environment.

How do you plan a Stardog version upgrade with minimal downtime?

What they are checking: Whether they manage upgrades carefully with testing in lower environments and rollback plans.

How would you secure a knowledge graph that holds sensitive healthcare data?

What they are checking: Whether they apply access controls, encryption and auditing appropriate for healthcare information.

How would you set up data virtualization so the graph can query a source without copying the data?

What they are checking: Whether they understand Stardog virtual graphs and their tradeoffs in performance and freshness.

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The full job description

As published by Vizient.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Responsibilities: In this role, you will: • Install, configure, monitor, upgrade, and maintain Stardog environments across development, test, and production. • Ensure knowledge graph platform availability, scalability, security, reliability, and performance. • Administer enterprise knowledge graph solutions supporting healthcare analytics, interoperability, benchmarking, quality reporting, and AI initiatives. • Develop and optimize SPARQL queries, semantic reasoning performance, indexing strategies, and large-scale graph workloads. • Implement and maintain backup, recovery, disaster recovery, and business continuity processes. • Manage RDF, OWL, RDFS, SHACL, and semantic data models representing healthcare concepts, measures, entities, and relationships. • Collaborate with enterprise architects and data governance teams to design and maintain healthcare ontologies and semantic models. • Support data virtualization, graph integrations, and semantic interoperability initiatives. • Partner with Data Engineering and Platform Engineering teams to support enterprise data platforms. • Integrate Stardog with SQL Server, PostgreSQL, Databricks, cloud storage platforms, APIs, and data integration technologies. • Develop automation scripts and operational procedures for deployment, monitoring, maintenance, and platform administration. • Support cloud-native deployments utilizing Kubernetes, Docker, Azure Container Apps, Azure Kubernetes Service (AKS), and related Azure services. • Monitor platform health, performance, capacity, and operational metrics. • Perform performance tuning and capacity management for graph database environments. • Support CI/CD and Infrastructure-as-Code (IaC) practices where appropriate. • Administer and support platform operations within Linux-based environments using command-line tools. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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