Senior Manager, Data Engineering
McKinney, TX, United States
USD 107K-150K (estimate) Senior-level Full Time
Tasks
- Build scalable secure cloud data platforms
- Conduct architecture reviews
- Coordinate cross-functional requirements
- Define enterprise data engineering strategy
- Deliver self service data capabilities
- Develop and integrate data environments
- Enable real time analytics and AI ML
- Ensure security governance and regulatory compliance
- Establish data architecture standards and governance
- Execute multi year data engineering roadmap
- Facilitate Agile ceremonies
- Lead and develop engineering teams
- Manage data engineering budgets and cloud spend
- Manage risk and issue escalations
- Modernize data platforms
- Optimize code performance and scalability
- Oversee resource allocation and project delivery
- Perform unit testing and peer reviews
- Run engineering operating model and performance metrics
- Standardize and govern data products
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Apache Airflow | Cloud Data | Cloud Data Migration | Cloud platform | Code review | DBT | Data Architecture | Data Governance | Data Migration | Data Processing | Data Quality | Data Warehousing | Databricks | ETL | Google Cloud | Google Cloud Platform | Java | Matillion | Metadata Management | Microsoft Azure | Microsoft SQL | Microsoft SQL Server | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | SQL Server | Scala | Security Compliance | Snowflake | Streaming | Unit Testing
Education
N/A
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