Senior Data Platform and Agentic Engineering Principal, VP
Tasks
- Architect agentic platform and workflows
- Coach and mentor engineers
- Design data platform ingestion and consumption
- Establish governance registration security observability and monitoring for AI agents
- Implement master data management
- Implement multi-agent workflows
- Implement workload balancing
- Integrate AI agent protocols
- Integrate OLTP and OLAP
- Lead agile data and agentic engineering teams
- Partner with global teams on cross border initiatives
- Synchronize data catalogs
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AWS | Agent systems | Agentic Infrastructure Pipelines | Agentic Workflow | Agentic infrastructure | Agentic workflow design | Azure | Consumption patterns | Containerization | Data Catalog | Data Ingestion | Data Management | Data consumption | Data consumption patterns | Data platform | Data platform architecture | Databricks | Enterprise LLMOps | GCP | GitHub Copilot | Governance | Human-in-the-loop | Infrastructure pipelines | Language Processing | Master Data | Master Data Management | Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OLAP | OLTP | Observability | Platform Architecture | Python | SQL | Security | Snowflake | The Loop | Workflow design | Workload balancing
Education
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