Data ModelerTechDoQuest • Toronto, ON, CA

Data Modeler

TechDoQuest • Toronto, ON, CA

4 days ago

Job type

Full-time

Job description

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

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Data Modeler • Toronto, ON, CA

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