VP Data Engineering
GBP 102K-140K (estimate) Executive-level Full Time
Tasks
- Architect AWS data platforms
- Build data engineering organization
- Build feature stores and vector databases
- Create knowledge graphs and ontologies
- Define data engineering strategy
- Design AI ready data ecosystems
- Drive DataOps and CI CD
- Enable self-service data products
- Enforce data governance standards
- Establish data ingestion transformation orchestration serving
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Flink | Apache Spark | Automated testing | CI/CD | Compliance | DBT | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Quality | Data Warehouse | Data mesh | DataOps | Feature Store | Graph Databases | IAM | Infrastructure as Code | Knowledge graphs | Lake Formation | Lakehouse | OWL | Ontology | RDF | Security | Semantic layer | Snowflake | Vector Database | “as-code”
Education
N/A
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