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Mid-level Pune role with common data skills and broad cross-domain requirements, moderate competition.
Strong enterprise data modeling and governance requirements limit cross-industry transferability.
Explicit 5+ years LDM/PDM requirement plus mandatory SQL, modeling tools, and cloud DW increases shortlist rigor.
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.
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.
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.