Sr. Global Data Engineering Lead - Python
Charlotte, NC, US, 28202
USD 142K-196K (estimate) Senior-level Full Time
Tasks
- Build CI/CD pipelines
- Collaborate with infrastructure/security teams
- Define data platform architecture standards
- Define testing and quality gates
- Deliver enterprise data pipelines
- Design APIs and backend services
- Develop data governance solutions
- Enforce coding standards and design patterns
- Ensure platform security, compliance, and cost efficiency
- Execute agile delivery with Jira
- Implement RESTful service architectures
- Implement event-driven architectures
- Integrate data lakes and data warehouses
- Lead Python engineering direction
- Lead cloud platform operations
- Manage technical debt
- Manage vendor and partner relationships
- Mentor engineering teams and leaders
- Monitor delivery health velocity risks
- Own data engineering strategy
- Perform backlog grooming and sprint planning
- Perform incident management and root cause analysis
- Support AI ML ecosystems
Perks/Benefits
Skills/Tech-stack
API | ArgoCD | Azure | Bitbucket | CI/CD | Cloud platform | Collibra | Data Governance | Data Lake | Data Quality | Data Warehouse | Django | Event Driven | Event-driven architecture | FastAPI | Flask | GDPR | GitHub | Google Cloud | Google Cloud Platform | Jenkins | Jira | Kubernetes | OpenAPI | OpenShift | Python | REST | SQL | Streamlit | Unit Testing
Regions
Countries
States
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