Data Platform Engineering Principal, VP
Tasks
- Architect and implement enterprise DevOps and CI CD pipelines
- Build CI/CD pipelines
- Coach and mentor engineers
- Define platform architecture for data ingestion and consumption
- Design DevOps practices
- Establish development QA UAT production and disaster recovery environments
- Evaluate agentic AI frameworks for SDLC
- Implement data catalog based data governance
- Implement data transformation and master data management
- Lead agile engineering team to deliver business solutions
- Partner with global teams to improve engineering standards
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | AWS | Application development | Azure | CI/CD | Capacity Planning | Cloud Agnostic | Cloud-Agnostic Architecture | Containerized Services | Data Catalog | Data Governance | Data Ingestion | Data Management | Data Pipeline Engineering | Data Processing | Data Transformation | Data pipeline | Data platform | Data platform architecture | Databricks | DevOps | Development tools | Disaster Recovery | GCP | GitHub Copilot | MDM | Master Data | Master Data Management | Networking | OLAP | OLTP | Pipeline engineering | Platform Architecture | Python | Real Time | Real-time Data | Real-time Data Processing | SDLC | SQL | Security | Snowflake | Software application | Software application development | Storage | Unstructured Data | Unstructured Data Processing
Education
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