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
- Build CI CD for MLOps
- Create standards templates and architecture reviews
- Define data contracts and APIs
- Design data integration solutions
- Design scalable ML platforms
- Establish data governance data catalogs and lineage
- Evaluate emerging data technologies
- Implement data modeling standards
- Implement data quality frameworks
- Implement feature stores and model training serving
- Implement security and access controls
- Lead proof of concepts and modernization
- Maintain data integration frameworks
- Optimize performance and cost
- Perform platform migration on prem to Azure
- Track experiments with MLflow
- Tune Spark SQL and query performance
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
ABAC | ADLS Gen2 | Auditability | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Event | Azure Event Hubs | Azure Key Vault | Azure Storage | Azure Storage ADLS Gen2 | Azure Synapse | Azure Synapse Analytics | Bicep | CDC | CI/CD | Compliance | Data Catalog | Data Factory | Data Governance | Data Lineage | Data Quality | Data Vault | Databricks | Delta Lake | Dimensional Modeling | Encryption | Event Based | Event Hubs | Event-based patterns | Feature Store | Infrastructure as Code | Kafka | Key Vault | Kimball | Lakehouse | MLOps | MLflow | Medallion Architecture | Power BI | Purview | PySpark | RBAC | SQL | Security | Semantic models | Spark | Storage ADLS Gen2 | Structured Streaming | Synapse Analytics | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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