Azure AI/Data Architect
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-163K Senior-level Full Time
Tasks
- Architect data ingestion transformation and orchestration pipelines
- Create architecture templates standards and mentor teams
- Define data contracts and integration patterns
- Design and implement data integration solutions
- Design scalable machine learning platforms including feature stores and model lifecycle
- Establish data modeling standards and semantic layers
- Evaluate emerging data technologies and tools for platform improvements
- Implement MLOps pipelines with CI CD for machine learning
- Implement data governance data catalogs lineage and data quality frameworks
- Lead proof of concepts platform modernization and migrations
- Optimize performance and cost for data processing systems
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Hybrid work environment
- Life insurance
- Paid time off
- Vision insurance
- Wellness benefits
Skills/Tech-stack
ABAC | ADLS Gen2 | Autoscaling | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Event | Azure Event Hubs | Azure Purview | Azure Storage | Azure Storage Account | Azure Synapse | Azure Synapse Analytics | Bash | Bicep | CDC | CI/CD | Caching | Data Factory | Data Governance | Data Quality | Data Vault | Databricks | Delta Lake | Dimensional Modeling | Event Hubs | Feature Store | Infrastructure as Code | Kafka | Key Vault | Kimball | Lakehouse | MLflow | Medallion Architecture | Partitioning | PySpark | RBAC | SQL | Spark SQL | Storage Account | Structured Streaming | Synapse Analytics | Terraform | Unity Catalog | Z-Order | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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