Data Architect
Park Royal, Brent, Greater London, United Kingdom
GBP 85K-95K Senior-level Full Time
Tasks
- Architect LLM data structures
- Architect cross cloud data pipelines
- Create data modeling conventions
- Create metadata rich semantic views
- Define RBAC security model
- Define data contracts
- Define semantic layer standards
- Define star schema patterns
- Design Snowflake integration patterns
- Design Snowflake object hierarchies
- Design clustering strategies
- Design embedding pipelines
- Design high throughput connectivity patterns
- Design idempotent pipeline patterns
- Design warehouse scheduling strategies
- Enable data reconciliation
- Ensure auditability
- Establish data vault standards
- Identify query anti patterns
- Implement automated data quality frameworks
- Implement dbt tests
- Implement dynamic data masking
- Implement error-handling patterns
- Implement incremental loading patterns
- Implement row level security
- Optimize Snowflake credit spend
- Optimize vector search
- Set environment separation Dev Test Prod
Perks/Benefits
Skills/Tech-stack
AWS | AWS PrivateLink | Amazon S3 | Azure | Azure APIs | Build tool | CI/CD | Clustering | DBT | Data Build | Data Build Tool | Data Vault | Data Vault 2.0 | Data Vault Modeling | Data masking | Dynamic data | Dynamic data masking | Embeddings | GenAI | GitHub | IAM | Inmon | Kestra | Kimball | LLM | RBAC | Row Level Security | Semantic layer | Snowflake | Star Schema | Vault modeling | Vector Search | Warehouse Scheduling
Education
N/A
Roles
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