Advisor - Data Architect, Data Foundry
US: South San Francisco, United States
USD 151K-222K Senior-level Full Time
Tasks
- Architect knowledge graphs for molecular and experimental relationships
- Build and optimize ETL and ELT pipelines for analytical and ML ready datasets
- Collaborate with analytics teams to support model training and evaluation
- Define controlled vocabularies metadata standards and FAIR frameworks
- Design data lakehouse architecture using modern platforms
- Design data models schemas and ontologies
- Design specialized data solutions for genomics imaging and document records
- Enable query and traversal patterns for relational questions across the data landscape
- Ensure enterprise compliance and transition architectures to production
- Implement real time and streaming data integration
- Implement semantic web standards using RDF OWL and SPARQL
- Implement vector database retrieval for ML and RAG workflows
- Partner with software engineers to ensure data architectures are implementable performant and documented
- Support build versus buy versus adopt platform decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Kinesis | Amazon Neptune | Amazon Timestream | Controlled vocabularies | DBT | Data Lakehouse | Data Modeling | Data integration | Data principles | Databricks | Document store | ELN integration | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | FAIR-Data | Fair Data Principles | Kafka | Knowledge graphs | LIMS Integration | Machine Learning | MongoDB | Neo4j | OWL | Ontology Engineering | Protégé | RAG | RDF | Real Time | Real-time Data | SPARQL | SPARQL Querying | SQL | Semantic Web | Semantic Web Technologies | Snowflake | Spark | Streaming Data | TigerGraph | Tiledb | Vector Database | Web Technologies
Education
Roles
Regions
Countries
States
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