Design and maintain conceptual, logical, and physical data models.
Develop scalable enterprise data warehouse and dimensional models.
Design Star Schema, Snowflake Schema, Fact and Dimension tables.
Define appropriate grain, keys, relationships, hierarchies, and business rules.
Translate business requirements into scalable and optimized data models.
Collaborate with Data Architects, Data Engineers, BI Developers, Business Analysts, and business stakeholders.
Ensure consistency of business definitions and data structures across analytics and reporting platforms.
Develop and maintain data dictionaries, metadata, lineage, and modeling documentation.
Apply appropriate normalization and denormalization strategies.




Design models for high-volume analytical workloads with appropriate partitioning, clustering, and performance optimization.
Support implementation of physical data models on GCP or other cloud platforms.
Ensure data quality, governance, integrity, and compliance with enterprise standards.
Perform impact analysis for model changes and evolving business requirements.
Support data integration and source-to-target mapping activities.
Identify prospects to improve data architecture, modeling standards, and performance.

📌 Data Modeller Bengaluru
🏢 Kiya.ai
📍 Bengaluru