Please mention DailyRemote when applying
AI Summary
Design and maintain enterprise and dimensional data models optimized for Snowflake and Power BI. Collaborate with cross-functional teams to establish a single source of truth and support cloud-native data consolidation on AWS.
Job Title: Senior Data Modeller
Key Skills: Data Modelling, Dimensional Modelling, Snowflake, AWS, SQL, Power BI, ETL/ELT, Star Schema, Data Architecture, DBT
Experience: 7–10+ years of experience.
Location: LATAM (open to all countries in the region)
Work Model: Remote for legal residents in Latam
Key Skills: Data Modelling, Dimensional Modelling, Snowflake, AWS, SQL, Power BI, ETL/ELT, Star Schema, Data Architecture, DBT
Experience: 7–10+ years of experience.
Location: LATAM (open to all countries in the region)
Work Model: Remote for legal residents in Latam
At Coforge, we are looking for a Senior Data Modeller (#22048) with the following profile.
Main Responsibilities
• Design and maintain enterprise data models (conceptual, logical, and physical models)
• Develop dimensional data models (facts, dimensions, star schemas) optimized for Snowflake and Power BI consumption
• Define data entities, relationships, hierarchies, grain, naming standards, and reusable structures
• Collaborate closely with Business Analysts, Data Engineers, Analytics Engineers, and QA/SDET teams to ensure alignment across data solutions
• Ensure consistency of core business metrics and establish a single source of truth
• Align business definitions with scalable data structures to support reliable analytics and reporting
• Support the consolidation of data into a centralized cloud-native platform (Snowflake on AWS)
• Design data models that enable decision-making across underwriting, claims, finance, and operations
• Ensure data models are optimized for performance, scalability, and usability
• Design and maintain enterprise data models (conceptual, logical, and physical models)
• Develop dimensional data models (facts, dimensions, star schemas) optimized for Snowflake and Power BI consumption
• Define data entities, relationships, hierarchies, grain, naming standards, and reusable structures
• Collaborate closely with Business Analysts, Data Engineers, Analytics Engineers, and QA/SDET teams to ensure alignment across data solutions
• Ensure consistency of core business metrics and establish a single source of truth
• Align business definitions with scalable data structures to support reliable analytics and reporting
• Support the consolidation of data into a centralized cloud-native platform (Snowflake on AWS)
• Design data models that enable decision-making across underwriting, claims, finance, and operations
• Ensure data models are optimized for performance, scalability, and usability
Required Qualifications
• 7–10+ years of experience in Data Modelling and Data Warehousing environments
• Strong expertise in data modelling (DW/DM concepts) and dimensional modelling (star schema, facts, dimensions)
• Advanced proficiency in SQL
• Hands-on experience with Snowflake
• Experience with cloud data platforms (AWS or Azure)
• Experience working with BI tools such as Power BI or similar
• Strong understanding of ETL/ELT pipelines and end-to-end data flows
• Knowledge of data performance optimization and scalability best practices
• Ability to translate business concepts into scalable and reusable data models
• Strong focus on data consistency, structure, and usability
• Experience working in cross-functional data teams
• Advanced or fluent English communication skills (mandatory)
• 7–10+ years of experience in Data Modelling and Data Warehousing environments
• Strong expertise in data modelling (DW/DM concepts) and dimensional modelling (star schema, facts, dimensions)
• Advanced proficiency in SQL
• Hands-on experience with Snowflake
• Experience with cloud data platforms (AWS or Azure)
• Experience working with BI tools such as Power BI or similar
• Strong understanding of ETL/ELT pipelines and end-to-end data flows
• Knowledge of data performance optimization and scalability best practices
• Ability to translate business concepts into scalable and reusable data models
• Strong focus on data consistency, structure, and usability
• Experience working in cross-functional data teams
• Advanced or fluent English communication skills (mandatory)
Preferred Qualifications
• Experience in the insurance domain (claims, policies, underwriting, risk)
• Hands-on experience with DBT (Data Build Tool)
• Familiarity with modern cloud-native data architectures
• Experience supporting enterprise data transformation initiatives
• Experience in the insurance domain (claims, policies, underwriting, risk)
• Hands-on experience with DBT (Data Build Tool)
• Familiarity with modern cloud-native data architectures
• Experience supporting enterprise data transformation initiatives
Published on: 7-7-2026
At Coforge, we hire professionals based solely on their skills and qualifications, without discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Automatically Apply to the Best Remote Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
