Data Architect
7 days ago
Role: Data Architect
Location: Toronto, ON
Duration: Contract
Data Architecture Strategy
- Design and implement scalable secure and high performance data architecture
- Define data standards governance policies and best practices
- Align data architecture with business goals and analytics needs
- Platform Development DataOps Focus
- Lead the development of a DataOps platform to streamline data pipelines testing monitoring and deployment
- Integrate CICD practices into data workflows
- Automate data quality checks lineage tracking and metadata management
- Netezza Expertise
- Design and optimize data models and queries in Netezza
- Migrate or integrate Netezza workloads with modern platforms eg cloud data warehouses
- Monitor and tune Netezza performance for analytics workloads
- Data Integration Pipeline Design
- Build robust ETLELT pipelines across heterogeneous data sources
- Ensure realtime and batch data processing capabilities
- Collaborate with data engineers to implement reusable pipeline components
- Collaboration Leadership
- Work closely with business stakeholders data scientists and engineering teams
- Mentor junior data engineers and architects
- Translate business requirements into technical specifications
- Monitoring Optimization
- Implement monitoring tools for data pipeline health and performance
- Continuously optimize data workflows for cost and efficiency
- Troubleshoot and resolve datarelated issues proactively
- AIML DataOps Enablement
- Collaborate with data scientists and ML engineers to provide clean structured and accessible data
- Support MLOps pipelines by ensuring data availability versioning and lineage tracking
- Automate data validation retraining triggers and rollback mechanisms for ML models
- AWS Cloud Experience is a must
Mandatory Skills :
GCP Data Architecture, MDM Conceptual, Data Architecture, Data Lakehouse Architecture, Dimensional Data Modelling.
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