Sr Lead Data Engineer – Data & Agentic AI
Tasks
- Assess downstream effects of schema updates
- Automate QA validation
- Build data models on Snowflake
- Build impact analysis for data pipeline changes
- Create data validation frameworks
- Deliver production ready data and AI solutions
- Design agent-based architectures
- Design data pipelines on Snowflake
- Develop analytics solutions
- Ensure data security privacy and auditability
- Ensure responsible AI governance
- Implement data quality checks
- Implement human-in-the-loop controls
- Integrate AI agents with APIs
- Integrate AI agents with Snowflake
- Integrate AI agents with lineage services
- Integrate AI agents with metadata services
- Perform data reconciliation
- Provide technical leadership and code reviews
Perks/Benefits
- Collaborative environment
- Employee amenities
- Flexible work culture
- Inclusive workplace
- Philanthropy support
Skills/Tech-stack
APIs | Agentic AI | Analytics | Data Lineage | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Data Warehouse | Data impact | Data impact analysis | Dimensional data | Dimensional data modeling | ELT | ETL | Impact analysis | Metadata Management | Python | Relational Data | Relational Data Modeling | SQL | Snowflake
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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