Senior Manager, Data Engineering
CAN-CORP Toronto-Toronto, Canada
CAD 185K-230K Senior-level Full Time
Tasks
- Architect enterprise data platforms and pipelines
- Communicate roadmaps and tradeoffs to executives
- Conduct architecture reviews and technology evaluations
- Define and execute data engineering roadmap
- Deliver trusted data capabilities with stakeholders
- Ensure governed scalable data assets
- Establish data quality observability and lineage
- Implement dataops best practices
- Lead and mentor data engineering team
Perks/Benefits
Skills/Tech-stack
AWS Glue | Amazon EKS | Amazon EMR | Amazon Neptune | Amazon Redshift | Azure AKS | Azure Data | Azure Data Factory | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | CCPA | CI/CD | Cassandra | CloudFormation | Container Orchestration | Cosmos DB | Data Factory | Data Governance | Data Lineage | Data Quality | Databricks | Flink | GDPR | Graph Databases | Infrastructure as Code | Java | Kafka | Kubernetes | MLOps | Machine Learning | Model Governance | MongoDB | Neo4j | NoSQL | Observability | Pinecone | PostgreSQL | PySpark | Python | SQL | SQL Database | Scala | Spark | Spark Streaming | Synapse Analytics | Terraform | Vector Databases | Weaviate | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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