Advisor - Data Architect, Data Foundry
US: South San Francisco, United States
USD 151K-244K Senior-level Full Time
Tasks
- Architect specialized data systems for scientific data
- Build ETL and ELT pipelines using Spark and dbt
- Collaborate with engineering teams to scale and maintain data platforms
- Define controlled vocabularies and metadata standards
- Design and implement knowledge graphs
- Design data lakehouse architecture and storage patterns
- Design data models schemas and ontologies
- Evaluate build versus buy versus adopt platform options
- Implement semantic standards RDF OWL and SPARQL
- Implement streaming data integration with Kafka and Kinesis
- Optimize queries and traversal patterns for discovery and AI agents
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Kinesis | Amazon Neptune | Amazon Web Services | Apache Spark | Azure | Cloud platform | DBT | Data Modeling | Data integration | Data principles | Databricks | Delta Lake | Document Databases | ELT | ETL | FAIR-Data | Fair Data Principles | Google Cloud | Google Cloud Platform | Graph Databases | Kafka | Knowledge graph | MongoDB | Neo4j | OWL | Ontology Engineering | RAG | RDF | Real Time | Real-Time Data Integration | Real-time Data | SPARQL | SQL | Semantic Web | Snowflake | Streaming Analytics | TigerGraph | Time data integration | Unity Catalog | Vector Databases | Web Services
Education
Roles
Regions
Countries
States
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