Lead Data Engineer
Tasks
- Architect data platform architecture
- Define data modeling standards
- Design batch and streaming pipelines
- Enable enterprise data ecosystem
- Ensure observability and telemetry
- Establish AI ML enablement patterns
- Implement RAG and vector indexing
- Implement privacy controls and readiness zones
- Lead and mentor cross-functional engineering teams
- Manage data lineage and auditability
- Set reliability and governance standards
Perks/Benefits
Skills/Tech-stack
ABAC | AI Search | Access Control | Apache Flink | Apache Kafka | Apache Spark | Audit Logs | Azure AI | Azure AI Search | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Event | Azure Event Hubs | Azure Purview | Batch Processing | CI/CD | Data Architecture | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data platform | Embeddings | Event Hubs | Graph Databases | Knowledge graphs | Lakehouse | Lakehouse Architecture | Managed Identities | Microsoft Fabric | Observability | OneLake | PII masking | PySpark | RBAC | Retrieval-Augmented Generation | Semantic Modeling | Streaming processing | Telemetry | Vector Search
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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