Director, Global Data Engineering
Nonstore B152 Charlotte NC, United States
USD 171K-210K (estimate) Executive-level Full Time
Tasks
- Deliver enterprise data products and reusable components
- Drive data quality harmonization dimensional modeling and data marts
- Ensure secure enterprise data sharing and production support
- Establish DataOps DevOps CI CD automated testing and observability practices
- Improve delivery speed predictability quality scalability reliability and cost efficiency
- Lead product oriented data engineering teams
- Manage metadata lineage documentation and governance alignment
- Oversee source integration batch and streaming ingestion
- Partner with architecture security analytics and business leaders on modernization
- Recruit coach develop and retain engineering talent
- Retire legacy data patterns reduce technical debt
- Set global data engineering vision and standards
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Automated testing | Azure | Batch Processing | CI/CD | Data Lineage | Data Modeling | Data Quality | DataOps | Databricks | DevOps | Dimensional Modeling | ELT | ETL | Generative AI | Incident Management | Infrastructure as Code | Infrastructure automation | Language Processing | Machine Learning | Metadata Management | Natural Language | Natural Language Processing | Observability | Privacy | Responsible AI | Security | Semantic Modeling | Service Level | Service Level Management | Snowflake | Streaming | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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