Lead Data Engineer (Azure)
Tasks
- Adopt AI assisted data engineering with copilots
- Architect Microsoft Fabric reporting solutions
- Build AI ready data pipelines for embeddings and vector stores
- Build ETL/ELT pipelines
- Build Power BI semantic models and dashboards
- Define governance for data consumed by LLMs and agents
- Design scalable data models
- Develop and optimize SQL queries
- Enforce PII exclusion by construction
- Implement Azure SQL to Microsoft Fabric CDC
- Implement data governance and quality controls
- Integrate GenAI into analytics data products
- Lead data platform design
- Lead end-to-end analytics projects
- Maintain multi tenant isolation
- Mentor team members and perform code reviews
- Migrate legacy data sources to Microsoft Fabric
- Troubleshoot data performance and integrity issues
Perks/Benefits
- Life insurance
- Maternity leave
- Medical insurance
- Paid Holidays
- Paid professional certifications
- Paid sick leave
- Paid vacation
- Paternity leave
- Remote-first work environment
Skills/Tech-stack
Azure SQL | CDC | Data Governance | Data Lakehouse | Data Modeling | Data Pipelines | Data Retention | Data Security | Dimensional Modeling | ELT | ETL | Embeddings | Feature Store | Generative AI | LLM | Medallion Architecture | Microsoft Fabric | Multi-tenancy | PII | Performance Tuning | Power BI | Python | SQL | SQL Performance | SQL Performance Tuning | Snowflake Schema | Star Schema | Vector Store
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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