Senior data modeller specialist - gcp cloud

?? 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


? 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

Profesional Senior

Formación Tec profesional

Ingeniería de sistemas Computación

Tecn Sistemas Computación

Técnico en desarrollo y mantenimiento de software

Ingenierìa De Software

9 años de experiencia

1 Vacante