Senior Data Architect
Tasks
- Build lakehouse solutions
- Conduct solution design sessions
- Define enterprise data architecture
- Design Data Vault 2.0 models
- Design data quality validation
- Design dimensional models
- Design enterprise data models
- Design enterprise data platforms
- Design semantic models
- Design standardized data pipelines
- Develop SQL solutions for analytics
- Establish data modeling standards
- Evaluate emerging technologies
- Govern enterprise data architecture
- Implement Databricks Lakehouse using Delta Lake
- Manage metadata with Unity Catalog
- Mentor data architects and engineers
- Optimize SQL query performance
- Optimize scalability performance reliability security cost
- Perform architecture reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Functions | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Management | Data Modeling | Data Quality | Data Vault | Data Vault 2.0 | Databricks Lakehouse | Delta Lake | Dimensional Modeling | Enterprise Data | Enterprise Data Modeling | Entra ID | Git | Infrastructure as Code | Master Data | Master Data Management | Metadata Management | Microsoft Entra | Microsoft Entra ID | Performance Tuning | Python | Query Optimization | SQL | Semantic layer | Stored Procedures | Unity Catalog | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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