AI Data Platform Lead
Tasks
- Build agentic data integration layer
- Collaborate with AI agent and GPT systems teams
- Define data quality standards and monitoring
- Design and govern operational data and GPT context layer
- Design and manage data ingestion ELT ETL pipelines
- Design contextual intelligence layer
- Establish AI data engineering standards
- Lead data warehouse foundation build
- Lead enterprise data modeling
- Maintain documentation and knowledge transfer standards
- Own AI ML feature layer
- Own data access policy design and least privilege controls
- Own end to end data architecture for data warehouse foundation
- Translate AI and business requirements into data architecture roadmap
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Audit Logging | DBT | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data quality monitoring | Dimensional Modeling | ELT | ETL | Feature Store | Least Privilege | Least-privilege access | Normalized Data | Normalized data modeling | Privilege Access | Python | Quality monitoring | RAG | Real Time | Real-time Data | Real-time data pipelines | Retrieval-Augmented Generation | SQL | Snowflake | Vector Databases
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