Principal Engineer, Data Engineering
FL - Saint Petersburg - 880 Carillon Pkwy Tower 1, United States
USD 129K-155K (estimate) Senior-level Full Time
Tasks
- Adopt and architect Kubernetes platforms
- Architect CI/CD pipelines
- Collaborate with product data governance and operations
- Containerize applications
- Define Oracle data architecture standards
- Define enterprise data platform architecture
- Define resilience and recovery improvements
- Define technical documentation and design governance
- Design and develop enterprise Python applications
- Drive automation for build test and deployment
- Ensure high availability fault tolerance and observability
- Establish engineering standards and design patterns
- Establish performance monitoring and SLO SLI frameworks
- Influence cloud strategy across AWS Azure and GCP
- Lead database performance tuning partitioning and query optimization
- Lead root cause analysis for production incidents
- Lead system design for high impact initiatives
- Mentor engineering teams
- Oversee data pipelines and distributed systems
- Promote DevSecOps practices
- Provide technical leadership across multiple teams
- Support data governance and platform modernization initiatives
Perks/Benefits
- Hybrid work model
- Life and disability benefits
- Life insurance
- Medical, dental, and vision insurance
- Paid time off
- Parental leave
- Retirement savings
Skills/Tech-stack
API | AWS | Agile | Azure | CI/CD | Cause analysis | Cloud platform | Containerization | Data Governance | Data Modeling | Data Pipelines | Database optimization | DevSecOps | Distributed Systems | Enterprise Architecture | Google Cloud | Google Cloud Platform | Jenkins | Kubernetes | Monitoring | Observability | Oracle | Partitioning | Performance Engineering | Platform Engineering | Python | Query Optimization | Root Cause Analysis | Root cause | SAFe | SLI | SLO | Scrum | System Integration
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