Job Description :

Data Modeling:
Design and maintain enterprise-wide conceptual, logical, and physical data models.
Develop dimensional models including Star Schema and Snowflake Schema for analytics and reporting.
Define business entities, relationships, hierarchies, metrics, and semantic standards.
Create canonical data models supporting domain-driven data products.

GCP Data Platform Design
Design data structures for BigQuery-based analytical platforms.
Support data modeling across Bronze, Silver, and Gold layers of the Lakehouse architecture.
Define consumption-ready models for BI, self-service analytics, and AI/ML workloads.
Collaborate with data architects on enterprise data architecture standards.

Data Governance & Metadata
Define and maintain data lineage, business glossaries, and metadata standards.
Work with governance teams to ensure compliance with enterprise data policies.




Drive master and reference data standardization initiatives.
Support integration of metadata and lineage capabilities through cloud governance tools
Data Quality & Integration
Establish data quality rules and validation frameworks.
Partner with Data Engineers to map source-to-target transformations.
Conduct impact analysis for source system changes.
Ensure consistency across ERP, PLM, CRM, Supplier, Finance, and operational datasets.

Business & Analytics Enablement
Translate business requirements into scalable data models.
Enable semantic models for BI and reporting platforms.
Partner with reporting teams to optimize data structures for analytics consumption.
Support AI-ready and ML-ready data foundation initiatives

📌 Data Modeller West Bengal (India)
🏢 Elabs Infotech
📍 India