Director of Data Engineering
Tasks
- Build and maintain enterprise semantic models
- Build data foundation for AI initiatives
- Connect source systems into clean usable data
- Define single source of truth across systems
- Design build and operate data pipelines
- Design centralized ingestion workspace
- Develop and support AI data agents
- Drive Fabric roadmap with CI CD enablement and Git integration
- Establish monitoring alerting and SLA standards
- Implement data governance with Microsoft Purview
- Improve analytics data quality and availability
- Manage Fabric capacity right sizing backup and disaster recovery
- Manage and mentor data engineers
- Own Microsoft Fabric platform
- Prioritize cross functional delivery with analytics product and business teams
- Provide architecture governance performance and access control
- Represent data engineering in leadership discussions and shape data strategy
- Set technical standards and foster team culture
- Support machine learning initiatives
Perks/Benefits
Skills/Tech-stack
Azure | Azure Data | Azure Data Services | CI/CD | Data Governance | Data Pipelines | Data Privacy | Data Quality | Data Services | Disaster Recovery | ETL | Git | Lakehouse | Microsoft Fabric | Microsoft Purview | Monitoring and Alerting | OneLake | Power BI | Python | SQL | Semantic layer | Warehouse
Education
N/A
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