Stardog Architect

Stardog Consultant

Key Responsibilities :

-Design and implement Stardog-based graph data solutions that address business needs and integrate with the organization's data architecture.

-Develop semantic models, ontologies, and knowledge graphs, translating complex business concepts into clear, reusable data structures.

-Lead solution architecture and engineering decisions for Graph DB initiatives, considering scalability, performance, security, and maintainability.

-Work with business and technical stakeholders to clarify requirements, assess trade-offs, and shape practical implementation plans.

-Investigate data and solution challenges, identify root causes, and recommend improvements using sound analytical and problem-solving skills.

-Communicate design decisions, risks, and recommendations clearly to technical teams and business partners.

Expected Outcomes :

-Deliver robust Stardog and Graph DB solutions that meet agreed business requirements and architectural standards.

-Provide well-structured semantic models and knowledge graphs that improve consistency, discoverability, and reuse of data.

-Enable informed business decisions by connecting relevant data and representing its meaning accurately.

-Identify and resolve technical and data-modeling issues effectively, helping keep delivery on track.

-Build alignment between business goals and engineering choices through clear communication and a strong business orientation.

Qualifications (Skills/Competencies) :

-5-10 years of relevant experience in data engineering, semantic design, solution architecture, or related roles.

-Hands-on experience with Stardog and Graph DB technologies.

-Capability to contribute as a Senior Data Engineer, Semantic Designer, and Solution Architect on graph data initiatives.

-Strong analytical thinking and problem-solving skills.

-Good communication skills and the ability to engage effectively with both technical and business stakeholders.

-Business orientation, with the ability to connect technical solutions to business priorities and outcomes.

-Bring your experience to work on meaningful data challenges where graph technology and semantic design can make information more connected and useful.