Data Modeler

Company: the company

About the company

the company is a global consulting and technology services firm specializing in data, analytics, and digital transformation solutions. With deep expertise in cloud platforms such as Microsoft Azure, Snowflake, and Databricks, the company helps organizations modernize their data ecosystems and drive business insights. The company focuses on delivering scalable data engineering, business intelligence, and AI-driven solutions across industries, enabling clients to make faster, data-driven decisions and achieve measurable business outcomes.

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 modern, 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.