Data Modeler
TVH (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 10–18 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain enterprise-wide Logical (LDM) and Physical Data Models (PDM) across multiple business domains to support reporting, analytics, and operational systems.
- Translate cross-domain business requirements into standardized, scalable data structures and optimize physical schemas for cloud data warehouses to meet performance SLAs.
- Collaborate with Domain Architects, Data Engineers, and Data Stewards to ensure model alignment with business reality, data governance standards, and enterprise data architecture strategy.
Minimum Requirements
- 5+ years of hands-on experience specifically in Logical Data Modeling (LDM) and Physical Data Modeling (PDM) across multiple business domains.
- Strong proficiency in SQL for source data profiling, data mapping, and schema validation.
- Experience with modern cloud data warehouses (preferably GCP BigQuery, Snowflake, or Databricks) and relational database platforms.
- Experience using enterprise data modeling tools such as Erwin, PowerDesigner, SqlDBM, or similar.
Ideal Candidate Profile
- Expertise in multiple data modeling paradigms: Relational/Entity-Relationship (3NF), Dimensional Modeling (Star/Snowflake), and Denormalization concepts, signaling advanced technical design skills.
- Ability to operate across enterprise domains and work cross-functionally with architects, engineers, and data stewards indicating strong domain integration capability.
- Experienced in optimizing models for cloud data warehouse performance and collaborating within Agile/Scrum distributed software delivery teams, reflecting familiarity with modern data engineering environments.