Data Modeler/Data Architect on GCP

Triade LLC; São Paulo; Teletrabalho; Confidencial; Tempo integral

Resumo da oferta

A leading company is seeking an experienced Data Modeler to support their Enterprise Data Platform initiative. This remote position involves building and optimizing data assets on Google BigQuery, requiring expertise in data modeling, collaboration with teams, and a strong understanding of retail data.

Qualificações

• Experience in data modeling and architecture in cloud data platforms (BigQuery preferred).
• Strong SQL skills with hands-on experience in performance tuning.
• Understanding of retail data models (sales, inventory, customer analytics).

Responsabilidades

• Design logical, conceptual, and physical data models for EDP’s curated layer in BigQuery.
• Define and maintain data definitions, relationships, and business rules for curated assets.
• Engage with business analysts to ensure models align with business requirements.

Conhecimentos

Data Modeling

SQL

Dimensional Modeling

Data Governance

Communication

Ferramentas

BigQuery

Dataflow

Pub/Sub

Cloud Storage

Descrição da oferta de emprego

Job Summary: We are seeking an experienced Data Modeler to support the Enterprise Data Platform (EDP) initiative, focusing on building and optimizing curated data assets on Google BigQuery. This role requires expertise in data modeling, strong knowledge of retail data, and an ability to collaborate with data engineers, business analysts, and architects to create scalable and high-performing data structures.

Key Responsibilities:

1. Data Modeling & Curated Layer Design

• Design logical, conceptual, and physical data models for EDP’s curated layer in BigQuery.
• Develop fact and dimension tables, ensuring adherence to dimensional modeling best practices (Kimball methodology).
• Optimize data models for performance, scalability, and query efficiency in a cloud-native environment.
• Work closely with data engineers to translate models into efficient BigQuery implementations (partitioning, clustering, materialized views).

1. Data Standardization & Governance

• Define and maintain data definitions, relationships, and business rules for curated assets.
• Ensure data integrity, consistency, and governance across datasets.
• Work with Data Governance teams to align models with enterprise data standards and metadata management policies.

1. Collaboration with Business & Technical Teams

• Engage with business analysts and product teams to understand data needs, ensuring models align with business requirements.
• Partner with data engineers and architects to implement best practices for data ingestion and transformation.
• Support BI & analytics teams by ensuring curated models are optimized for downstream consumption (e.g., Looker, Tableau, Power BI, AI/ML models, APIs).

Required Qualifications:

• Experience in data modeling and architecture in cloud data platforms (BigQuery preferred).
• Expertise in dimensional modeling (Kimball), data vault, and normalization/denormalization techniques.
• Strong SQL skills, with hands-on experience in BigQuery performance tuning (partitioning, clustering, query optimization).
• Understanding of retail data models (e.g., sales, inventory, pricing, supply chain, customer analytics).
• Experience working with data engineering teams to implement models in ETL/ELT pipelines.
• Familiarity with data governance, metadata management, and data cataloging.
• Excellent communication skills and ability to translate business needs into structured data models.

Preferred Qualifications:

• Prior experience working in retail or e-commerce data environments.
• Exposure to modern data architectures (data lakehouse, event-driven data processing).
• Familiarity with GCP ecosystem (Dataflow, Pub/Sub, Cloud Storage) and BigQuery security best practices.

This is a 100% remote position.