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Data Modeler
Data ModelerTechDoQuest • Toronto, ON, CA
Data Modeler

Data Modeler

TechDoQuest • Toronto, ON, CA
Il y a 4 jours
Type de contrat
  • Temps plein
Description de poste
  • Lead the design and implementation of conceptual, logical, and physical data models for cloud-native and hybrid environments
  • Collaborate with data architects, engineers, and business analysts to translate business requirements into optimized data structures
  • Develop and maintain data models for GCP-native services including BigQuery, Cloud SQL, Firestore, and Dataplex
  • Define and enforce data modeling standards, naming conventions, and metadata management practices
  • Conduct data profiling, lineage mapping, and source-to-target transformations for ingestion pipelines
  • Partner with governance teams to ensure models align with data privacy, security, and compliance standards (e.g., PIPEDA, GDPR)
  • Optimize models for performance and cost-efficiency in GCP, leveraging partitioning, clustering, and materialized views
  • Support semantic layer design for BI tools like Looker, Tableau, or Power BI
  • Document data definitions, relationships, and business rules using modeling tools and GCP-native metadata catalogs
  • Mentor junior data modelers and contribute to the evolution of enterprise data architecture

    • Required Skills & Qualifications

    • 10+ years of hands-on experience in data modeling across large-scale, complex environments
    • Deep expertise in relational, dimensional, and NoSQL modeling
    • Strong proficiency in GCP services : BigQuery, Cloud SQL, Dataplex, Pub / Sub, Dataflow, and Looker
    • Experience with data modeling tools such as Erwin, PowerDesigner, or SQL Developer Data Modeler
    • Advanced SQL skills and understanding of query optimization and cost control in BigQuery
    • Familiarity with data lakehouse architectures, data mesh, and modern ELT pipelines
    • Solid understanding of data governance, metadata management, and data quality frameworks
    • Bachelor's or Master’s degree in Computer Science, Information Systems, or related field

      • Preferred Qualifications

    • GCP certifications (e.g., Professional Data Engineer, Cloud Architect)
    • Experience in regulated industries such as finance, healthcare, or telecom
    • Exposure to Agile / Scrum methodologies and CI / CD for data
    • Knowledge of Python, dbt, Terraform, or other infrastructure-as-code tools
    • Familiarity with AI / ML data preparation and feature store modeling

      • #J-18808-Ljbffr

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