Data Architect, Data Foundry
US: South San Francisco, United States
USD 132K-193K Senior-level Full Time
Tasks
- Architect specialized data solutions for genomics imaging and experimental records
- Build and optimize ETL and ELT pipelines using Spark and dbt
- Build query and traversal patterns for relational questions
- Collaborate with analytics and ML teams for data structures
- Define and maintain controlled vocabularies metadata standards and FAIR compliant frameworks
- Define scaling strategies ensure enterprise compliance and transition to production grade data management
- Design and implement data Lakehouse architecture
- Design and implement data models schemas and ontologies
- Design and implement knowledge graphs
- Evaluate build versus buy versus adopt decisions for data platforms
- Implement real time and streaming data integration with event driven patterns
- Implement semantic web standards RDF OWL SPARQL
- Partner with scientific software engineers to ensure implementable performant and documented architectures
Perks/Benefits
- 401k
- Dental insurance
- Employee assistance program
- Fitness benefits
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Amazon Neptune | Azure | Cloud Platforms | DBT | Data Lakehouse | Data Lakehouse Architecture | Data Modeling | Databricks | ELT | ETL | Event Driven | Event-driven architecture | FAIR-Data | GCP | Graph design | Kafka | Kinesis | Knowledge graph | Knowledge graph design | LIMS | Lakehouse Architecture | Metadata Management | MongoDB | Neo4j | OWL | Ontology Engineering | PGVector | Pinecone | RDF | SPARQL | SQL | Snowflake | Spark | Streaming Data | TigerGraph | Tiledb | Vector Databases | Weaviate | Zarr
Education
Roles
Regions
Countries
States
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