Senior Data Warehouse Architect (Data Vault 2.0)
Tasks
- Automate ELT processes
- Define data architecture standards
- Define data modeling guidelines
- Define documentation practices
- Define monitoring processes
- Define naming conventions
- Define observability processes
- Define validation processes
- Design Data Vault 2.0 structures
- Design data warehouse solutions
- Develop data modeling
- Ensure maintainability
- Ensure performance
- Ensure reliability
- Ensure scalability
- Evaluate emerging technologies
- Implement PIT tables
- Implement bridge tables
- Implement data governance best practices
- Implement data lineage best practices
- Implement data warehouse solutions
- Implement dataops practices
- Implement hubs links satellites
- Implement metadata management best practices
- Lead data modeling activities
- Maintain data warehouse solutions
- Manage metadata
- Optimize data modeling
- Provide architectural guidance
- Provide technical leadership
- Standardize ELT processes
- Support deployments
- Support reporting and analytics
- Translate business requirements into data models
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Cloud Data | Cloud Data Platforms | DBT | Data Architecture | Data Governance | Data Lineage | Data Management | Data Modeling | Data Vault | Data Vault 2.0 | Data Warehousing | Data platforms | DataOps | Databricks | ELT | ETL | Event Driven | Event-driven architecture | MDM | Master Data | Master Data Management | Metadata Management | Python | Real Time | Real-time Data | SQL | Scala | Snowflake
Education
N/A
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