Data Platform Engineering-Senior Principal, VP
Tasks
- Coach and mentor engineers
- Define and own agentic platform architecture and implementation
- Design and implement Agentic workflows
- Design and lead implementation of data platform ingestion and consumption patterns
- Implement data sourcing and distribution agents
- Implement enterprise LLMOps and agentic infrastructure pipelines
- Implement governance registration security observability and monitoring for AI agents
- Implement master data management
- Implement workload balancing
- Integrate OLTP and OLAP workloads
- Lead agile data and agentic engineering team to deliver scalable solutions
- Partner with global teams to strengthen engineering standards
- Synchronize data catalogs
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AI Agent | AI Agent Governance | AI agent security | AWS | Agent governance | Agent security | Agent systems | Agentic Workflows | Capacity Planning | Cloud Computing | Containerization | Data Catalog | Data Ingestion | Data Management | Data consumption | Data platform | Data platform architecture | Databricks | Enterprise LLMOps | FinOps | GitHub Copilot | Google Cloud | Human-in-the-loop | LLMOps Pipelines | Master Data | Master Data Management | Microsoft Azure | Monitoring | Multi-Agent | Multi-Agent Systems | Network Security | OLAP | OLTP | Observability | Open Architecture | Platform Architecture | Python | SQL | Snowflake | Storage Security | The Loop | Unstructured Data | Workload balancing
Education
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