Job Description
We are looking for an experienced

Data Modeler

to support the design and delivery of enterprise data models across business domains such as Finance, Sales, Retail, Supply Chain, Product, Customer, and Digital Commerce.
The role will focus on translating business requirements into high-quality

conceptual, logical, physical, and semantic data models . The Data Modeler will work closely with Data Architects, Product Owners, Business Analysts, Data Engineers, BI developers, and business stakeholders to ensure that data structures are consistent, scalable, governed, and fit for analytical consumption.
The ideal candidate has strong experience in enterprise data modeling, dimensional modeling, lakehouse or data warehouse environments, and up-to-date analytics platforms such as Databricks or similar technologies.

Key Responsibilities
Data Modeling

Create and maintain conceptual, logical, and physical data models
Design entities, attributes, relationships, hierarchies, keys, and cardinalities.
Develop dimensional models, including facts, dimensions, bridge tables,



slowly changing dimensions, and aggregation structures.
Define and document business entities such as Customer, Product, Store, Order, Transaction, Supplier, Account, and similar core business concepts.
Support the design of reusable and conformed data models across domains and data products.

Semantic and Analytical Modeling

Design models optimized for analytics, reporting, and BI consumption.
Define business metrics, measures, dimensions, hierarchies, and calculation logic.
Support semantic layer design for tools such as Power BI, Databricks SQL, Databricks Metric Views, or similar platforms.
Ensure consistent business definitions for KPIs and analytical measures.
Collaborate with BI teams to ensure models are usable, performant, and understandable for reporting consumers.

Source-to-Target Mapping

Analyze source system structures and map them to target data models.
Create and maintain source-

📌 Sr Data Modeler (Mumbai)
🏢 Texplorers
📍 Mumbai