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Programmers.io

Ontology Business Consultant

Tampa, FL · On-site

RDF, OWL, SHACL, SPARQL, Stardog (or GraphDB, Blazegraph, Neptune), Protégé, SKOS taxonomies. • Experience: designing ontologies/knowledge graphs, translating business requirements into semantic ...

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Stardog information

What is the difference between Stardog vs Data Scientist?

AspectStardogData Scientist
Required CredentialsKnowledge of graph databases, data modeling, and sometimes certifications in data managementDegree in data science, statistics, or related fields; certifications like CAP or DAS
Work EnvironmentPrimarily works with data management platforms, often in IT or data teamsAnalyzes data, builds models, and reports in various industries
Industry UsageUsed in data management, knowledge graphs, and enterprise data integrationApplied across finance, healthcare, tech, and more for insights and decision-making

Stardog focuses on data management and knowledge graph solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills but serve different functions within data ecosystems.

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Infographic showing various Stardog job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 67% In-person, and 33% Remote job distribution.
Data Architect - Active Metadata

Data Architect - Active Metadata

Software Technology Inc

Remote

$65.25 - $84/hr

Other

Posted 5 days ago

Job description

Data Architect

Location: Menlo Park, CA (Remote)

Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a "nervous system" where metadata is active, governance is computational, and data sharing is zero-copy.

Mandatory Skills:

  • Active Metadata: Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair).
  • Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning.
  • Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context-aware access control.

Other Technical Skills:

  • Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.
  • Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress.
  • Compute: Trino (GraalVM), StarRocks, DuckDB (WASM).
  • Orchestration: Dagster, Airflow (Provider-level).
  • Semantic Layer: Stardog, Apache Jena, GraphQL Federation.
  • System Languages: Rust, Clojure, or Java.

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