Data Engineer Manager
Tasks
- Align knowledge graph ontology mapping and governance controls
- Build and operate Azure Snowflake data platform
- Create APIs and stream serving layers
- Define data engineering strategy and roadmap
- Design governed event driven data factory
- Develop scalable high throughput ingestion pipelines
- Drive performance engineering and cost optimization
- Enable AI ML feature pipelines and vector datasets
- Ensure RBAC ABAC masking and retention controls
- Establish data contracts and data quality rules
- Implement OpenLineage and lineage tracking
- Lead incident management and reliability improvements
- Manage squads and multi region capacity plan
- Partner with stakeholders to prioritize data value backlog
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | APIs | Access Management | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | BCP | CI/CD | DBT | Data Contracts | Data Factory | Data Quality | Data Retention | Data masking | Disaster Recovery | Evaluation Pipelines | Event Driven | Event-driven architecture | FinOps | Flink | Identity and Access Management | Identity and access | Kafka | Key Vault | Kubernetes Service | Lineage | MTTR | Model Registry | Observability | OpenLineage | RBAC | Retrieval-Augmented Generation | SLO | SQL | Snowflake | Time Series | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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