Senior Manager - Data Engineering
Tasks
- Adopt Snowflake dynamic tables
- Adopt Snowpark
- Build data platform
- Create ETL and ELT best practices
- Create warehouse standards
- Define data quality and observability using dbt tests
- Design Azure Data Pipelines
- Design Snowflake architecture
- Design layered dbt models staging intermediate marts
- Enforce naming and code review standards
- Establish data lineage
- Govern Snowflake cost and security
- Implement data masking RBAC and network policies
- Implement dbt testing strategy
- Integrate dbt with CI/CD
- Lead dbt modeling conventions
- Lead team planning sessions
- Maintain dbt documentation standards
- Manage and mentor data engineers
- Monitor data movement into Snowflake
- Operate Azure Data Factory pipelines
- Plan hiring and onboarding
- Translate business requirements into engineering work
- Tune Snowflake performance
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | CI/CD | DBT | Data Factory | Data Lineage | Data masking | Python | RBAC | SQL | Snowflake
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