- 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 opportunities to improve data architecture, modeling standards, and performance.

📌 Data Modeller (Bengaluru)
🏢 Kiya.ai
📍 Bengaluru