AI Data Platform Lead
Tasks
- Build and maintain agentic data integration layer
- Define data access policy and least privilege controls
- Define data quality standards and monitoring for AI consumed data
- Design and govern operational data and GPT context layer
- Design contextual intelligence layer using RAG
- Design end to end data architecture for AI first data warehouse
- Ensure infrastructure and pipeline decisions support AI consumption
- Establish AI data engineering standards and reusable pipeline components
- Evaluate and recommend data tooling and frameworks for AI Ops roadmaps
- Lead enterprise data modeling across departments
- Maintain documentation and knowledge transfer for data platforms and patterns
- Manage data ingestion ELT ETL and orchestration pipelines
- Own AI ML feature layer and feature store architecture
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Audit Logging | DBT | Data Governance | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data quality monitoring | Dimensional Modeling | Document processing | ELT | ETL | Feature Store | Knowledge Base | Knowledge base ingestion | Least Privilege | Near Real Time Data Pipelines | Near-Real-Time data | Near-real-time | Normalized modeling | Python | Quality monitoring | RAG | Real Time | Real-time Data | Real-time data pipelines | SQL | Snowflake | Unstructured Data | Unstructured Data Processing | Vector Database
Roles
AI | AI Data Platform Lead | Architect | Data Architect | Data Platform Lead | Lead | Platform Lead
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