Senior Data Platform Manager
Tasks
- Allocate resources
- Build scalable data systems
- Conduct code reviews
- Coordinate dev test prod deployments
- Create semantic models
- Define data requirements
- Develop data pipeline architectures
- Evaluate new data tools and technologies
- Implement Microsoft Fabric OneLake
- Implement Microsoft Fabric lakehouse
- Implement Microsoft Fabric warehouse
- Implement column level security
- Implement data governance practices
- Implement data security practices
- Implement row level security
- Lead data pipeline design
- Maintain data architectures
- Maintain data compliance
- Maintain data privacy standards
- Maintain standards and best practices
- Manage data pipeline lifecycle
- Manage project timelines
- Manage workspace permissions
- Mentor Power BI developers
- Mentor data engineers
- Recommend Microsoft analytics platform enhancements
Perks/Benefits
- Hybrid work flexibility
- Occasional travel for meetings and conferences
- Training and conference opportunities
Skills/Tech-stack
AWS | Agile | Amazon Redshift | Apache Airflow | Apache Spark | Azure | Azure DevOps | Cloud platform | Column-Level Security | Confluence | DBT | Data Governance | Data Security | Data Warehousing | Distributed Systems | Google BigQuery | Google Cloud | Google Cloud Platform | Java | Jira | Microsoft Fabric | Microsoft Power | Microsoft Power BI | Power BI | Python | Release Management | Row Level Security | SQL | Scala | Snowflake | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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