Lead Data Engineer (Azure)
Tasks
- Architect Microsoft Fabric reporting solutions
- Build AI ready data pipelines for embeddings vector stores feature stores
- Build data lakehouse platforms
- Configure CDC mirroring from Azure SQL to Fabric
- Create Power BI semantic models dashboards and reports
- Define governance and quality standards for LLM data
- Design scalable data models
- Develop ETL/ELT pipelines
- Drive AI assisted data engineering adoption
- Enforce data segregation PII excluded
- Ensure data governance security compliance
- Implement analytics layers
- Integrate GenAI into analytics and data products
- Lead data engineering projects end-to-end
- Maintain multi tenant isolation
- Migrate legacy systems to Microsoft Fabric
- Optimize SQL queries for performance
- Troubleshoot data performance and quality issues
Perks/Benefits
- Flexible work schedule
- Life insurance
- Maternity leave
- Medical insurance
- Paid Holidays
- Paid professional certifications
- Paid sick leave
- Paid vacation
- Paternity leave
- Remote-first work environment
- Wellbeing programs
Skills/Tech-stack
Azure SQL | CDC | DBT | Data Governance | Data Lakehouse | Data Migration | Data Modeling | Dimensional Modeling | ELT | ETL | Embeddings | Feature Stores | GenAI | Medallion Architecture | Microsoft Fabric | Multi-tenant | Multi-tenant architecture | PII | Power BI | Python | Query Optimization | SQL | SQL Query Optimization | SQL query | Snowflake Schema | Star Schema | Tenant architecture | Vector Databases | Vector Stores
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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