Senior Data Modeller Specialist

1 week ago

Ontario, Canada TechDoQuest Full time

Role Overview We are seeking a seasoned Senior Data Modeller Specialist with over 10 years of experience in enterprise data modeling and a strong command of Google Cloud Platform (GCP) . This role is critical to designing scalable, secure, and high-performance data models that power analytics, AI/ML, and operational systems across the organization. Key Responsibilities 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.

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