Role Overview:
The Data Modeler will be responsible for analyzing and documenting legacy BI/data platform models (e.g., Qlik, Gather), and redesigning them into up-to-date, scalable data models aligned with Microsoft Fabric Lakehouse and Medallion architecture principles. This role ensures that business logic, relationships, and reporting structures are preserved while enabling modernization.

Key Responsibilities
• Legacy Model Analysis: Review and document existing Qlik/Gather data models, schemas, and business rules
. • Model Recreation: Redesign legacy models into Microsoft Fabric Lakehouse structures, following Medallion architecture (Bronze, Silver, Gold layers).
• Business Logic Mapping: Translate legacy calculations, joins, and transformations into Fabric equivalents.
• Data Governance Alignment: Ensure models comply with governance, lineage, and metadata standards.
• Collaboration: Work closely with architects, BI consultants, and migration teams to ensure functional parity and business continuity.
• Optimization: Streamline and normalize models for scalability, performance,



and future extensibility.
• Documentation: Provide clear technical and functional documentation for migrated models. Required Skills & Experience
• Strong expertise in data modeling techniques (conceptual, logical, physical).
• Hands on experience with legacy BI/data platforms (Qlik, Gather, or similar).
• Knowledge of Microsoft Fabric Lakehouse and Medallion architecture design.
• Proficiency in SQL, schema design, and metadata management.
• Ability to capture and translate business functionality into modern models.
• Strong communication and documentation skills.

Preferred Qualifications
• Experience in BI/data platform migration projects (legacy → Fabric).
• Familiarity with Azure ecosystem (Synapse, Databricks, Power BI).
• Exposure to data governance tools (Purview, lineage tracking).
• Industry experience in telecom, finance, or enterprise scale environments.

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📌 Data Modeler (Bengaluru)
🏢 Employ
📍 Bengaluru