About this opportunity
Talentola lists this Senior Stardog Admin/DevOps Consultant opportunity in edina, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Mandatory Skills:
Stardog, Knowledge Graph, Stardog Administration, SPARQL , RDF, OWL, RDFS, SHACL
Desired Skills:
Databricks, Postgress, Azure, AKS, Admin, Recovery
Job Description:
We are seeking a Senior Stardog Database Administrator (DBA) / Knowledge Graph Engineer with 3+ years of experience administering Stardog or comparable graph database platforms to support enterprise healthcare data and analytics initiatives.
This role is responsible for managing, optimizing, and advancing the organization's knowledge graph platform to enable healthcare analytics, interoperability, data governance, semantic integration, and AI-driven solutions. The successful candidate will work closely with data engineers, architects, clinical informatics teams, analysts, product owners, and software engineers to support operational, financial, quality, and clinical healthcare use cases.
Experience with Microsoft SQL Server, PostgreSQL, Databricks, or modern cloud-based analytics platforms is highly preferred.
Key Responsibilities
Knowledge Graph & Graph Database Administration
Install, configure, monitor, upgrade, and maintain Stardog environments across development, test, and production environments.
Ensure platform availability, scalability, security, reliability, and performance.
Administer enterprise knowledge graph solutions supporting healthcare analytics, interoperability, benchmarking, quality reporting, and AI initiatives.
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.
Data Platform Operations
Partner with Data Engineering and Platform Engineering teams supporting enterprise data platforms.
Integrate Stardog with SQL Server, PostgreSQL, Databricks, cloud storage platforms, APIs, and data integration tools.
Develop automation scripts and operational procedures for deployments, monitoring, maintenance, and platform administration.
Support cloud-native deployments utilizing Kubernetes, Docker, Azure Container Apps, Azure Kubernetes Service (AKS), and related Azure platform services.
Monitor platform health, performance, capacity, and operational metrics.
Support CI/CD processes and Infrastructure-as-Code (IaC) practices where appropriate.
Required Qualifications
Education
Bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, Engineering, or a related field, or equivalent professional experience.
Experience
3+ years of hands-on experience administering Stardog or equivalent graph database technologies.
5+ years of experience supporting enterprise databases, data platforms, or data engineering environments.
Experience supporting mission-critical production systems.
Experience troubleshooting and resolving complex platform, performance, and integration issues.
Technical Skills
Strong experience with:
Stardog administration and platform operations
SPARQL development and optimization
RDF, OWL, RDFS, SHACL, and semantic web technologies
Knowledge graph architecture and administration
Backup, recovery, and disaster recovery planning
Identity and access management technologies
Cloud-based database and application platforms
Performance tuning, monitoring, and capacity management
Linux-based environments and command-line administration
Preferred Qualifications
Data Platform Experience
Databricks, Delta Lake, and modern lakehouse architectures
Data integration and virtualization platforms
Azure cloud data and analytics services
Kubernetes (AKS)
Healthcare Domain Experience
Healthcare analytics and benchmarking solutions
Population health and value-based care initiatives
Clinical, operational, quality, payer, or provider data domains
Healthcare interoperability standards and healthcare data workflows
Knowledge graph solutions supporting healthcare analytics and AI-driven decision support
Desired Skills & Competencies
Strong analytical and troubleshooting skills
Ability to diagnose complex semantic modeling, data integration, and performance issues
Excellent written and verbal communication skills
Strong stakeholder management and collaboration abilities
Experience working across business, clinical, and technical teams
Ability to translate healthcare business requirements into scalable technical solutions
Self-starter with strong ownership and accountability
Passion for healthcare analytics, knowledge graphs, semantic technologies, and AI-enabled decision support
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.