Data Platform Engineering Principal, VP
Tasks
- Build DevOps practices
- Coach and mentor engineers
- Define data platform architecture
- Deliver data platform solutions
- Design data ingestion and consumption services
- Develop master data management
- Establish data governance
- Evaluate agentic AI frameworks
- Implement CI/CD pipelines
- Implement data transformation
- Lead agile engineering team
- Partner with global teams
- Set up development QA UAT production disaster recovery environments
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Application development | CI/CD | Capacity Planning | Catalog Services | Cloud Computing | Cloud platform | Containerized Services | Data Governance | Data Ingestion | Data Management | Data Pipeline Engineering | Data Processing | Data Transformation | Data pipeline | Data platform | Data platform architecture | Databricks | DevOps | Disaster Recovery | Google Cloud | Google Cloud Platform | High concurrency | Interoperability | Master Data | Master Data Management | Microsoft Azure | Near-real-time | Networking | OLAP | OLTP | Open Architecture | Pipeline engineering | Platform Architecture | Python | Real Time | SQL | Security | Snowflake | Software application | Software application development | Storage | System Performance | Unstructured Data | Unstructured Data Processing | Web Services
Education
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