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Data Architect

Job in Toronto, Ontario, M5A, Canada
Listing for: E-Solutions
Full Time position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Job Description & How to Apply Below
Role:
Data Architect

Location:
Toronto, ON (days onsite)

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 Data Ops Focus
  • Lead the development of a Data Ops 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 Data Ops 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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