Senior Data Modeller Specialist – GCP Cloud
1 day ago
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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