VP Data Engineering
GB-Edinburgh-Office, United Kingdom
GBP 85K-140K (estimate) Executive-level Full Time
Tasks
- Architect secure scalable data platforms
- Build scale data engineering organization
- Create and integrate knowledge graphs ontologies
- Define enforce data governance standards
- Define enterprise data engineering strategy
- Design AI native data architectures feature stores vector databases semantic layers
- Design data ingestion transformation orchestration serving
- Drive DataOps CI CD infrastructure as code automated testing
- Enable self-service data products
- Establish data engineering best practices
- Implement data ingestion batch streaming real time patterns
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 Lineage | Data Quality | Data Security | Data mesh | DataOps | Feature Store | IAM | Infrastructure as Code | Knowledge graph | Lake Formation | OWL | Observability | Ontology | RDF | Semantic Modeling | Semantic layer | Snowflake | Vector Database | “as-code”
Education
N/A
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