Stardog Admin
Magicforce
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Job summary
Magicforce is seeking a Senior Stardog Database Administrator (DBA) / Knowledge Graph Engineer with 3+ years of experience to support enterprise healthcare data and analytics initiatives. You will manage and optimize the knowledge graph platform, enabling interoperability, data governance, and AI-driven solutions across clinical, operational, and financial use cases.
The role requires strong Stardog knowledge, SPARQL optimization, and experience with cloud-based data platforms.
Qualifications
- 3+ years administering Stardog or equivalent graph databases.
- 5+ years supporting enterprise data platforms or data engineering environments.
- Experience supporting mission-critical production systems.
- Strong analytical and troubleshooting skills.
Responsibilities
- Install, configure, monitor, upgrade, and maintain Stardog environments across development, test, and production.
- 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.
Skills
Education
Tools
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.
- 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.
- 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.
- Bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, Engineering, or a related field, or equivalent professional 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.
- 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
- Databricks, Delta Lake, and modern lakehouse architectures
- Data integration and virtualization platforms
- Azure cloud data and analytics services
- Kubernetes (AKS)
- 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
- 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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