Head of Enterprise Data Engineering
Maryland, United States
USD 185K-237K (estimate) Executive-level Full Time
Tasks
- Build and support data platforms
- Coordinate with data architecture and enterprise architecture
- Create reusable data engineering frameworks
- Define data engineering execution plans
- Drive implementation of enterprise first data solutions
- Ensure technical integrity with data architecture
- Improve data quality and scalability
- Lead data engineering teams
- Lead engineering operations for data platforms
- Manage data ingestion and distribution mechanisms
- Provide engineering support for data modernization
- Provide oversight for complex cross platform projects
Perks/Benefits
Skills/Tech-stack
API Architecture | API Design | Agile | Amazon Aurora | Amazon Redshift | Apache Kafka | Apache Spark | Azure | Big Data | Cloud Computing | Cloud platform | Data Architecture | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Pipelines | Data Privacy | Data Processing | Data Quality | Data Security | Data Warehousing | Data fabric | Databricks | Dremio | ETL | Google Cloud | Google Cloud Platform | Hadoop | Microservices | Operational data | Relational databases | Reporting analytics | Semantic layer | Snowflake | Transactional Data
Education
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