Data Architect
Tasks
- Apply data vault modeling
- Apply dimensional modeling
- Build reusable data frameworks
- Build reusable data patterns
- Create data lakehouse patterns
- Define data flow orchestration
- Design data warehouse architectures
- Develop and optimize metadata driven ELT
- Develop and optimize metadata driven ETL
- Develop data proof of concept
- Implement Data Mesh solutions
- Integrate data lake storage frameworks
- Manage code with version control
- Perform pair programming
- Review designs with code reviews
- Support CI/CD
Perks/Benefits
- Conference access
- Course access
- Flexible schedule
- Friday workdays off
- Hybrid work option
- Intensive schedule in July and August
- Official certifications support
- Remote work option
- Telework allowance
- Training support
Skills/Tech-stack
AWS | AWS Glue | Apache Airflow | Apache Iceberg | Azure | Azure Data | Azure Data Factory | CI/CD | DBT | DLT | Data Factory | Data Lake | Data Lake Storage | Data Lakehouse | Data Modeling | Data Observability | Data Quality | Data Vault | Data Warehousing | Data mesh | DataOps | Databricks | Dataflow | Dataproc | Dimensional Modeling | ELT | ETL | Inmon | Kimball | MLOps | Machine Learning | Metadata Driven | Metadata driven pipelines | Microsoft Azure | Microsoft Fabric | Python
Education
Roles
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