Data Modeler

Company Overview

Not specified.

Job Summary

The Data Modeler plays a vital role in designing and implementing data models that are essential for reporting and analytics. This position requires translating business requirements into well-structured datasets and collaborating with various stakeholders to ensure data usability. The role emphasizes scalability, performance optimization, and the definition of best practices in data modeling.

Responsibilities

• Design and implement dimensional, star, and snowflake schemas tailored for reporting and analytics use cases.
• Translate business requirements into canonical Gold-layer datasets with standardized definitions.
• Ensure scalability, performance optimization, and query efficiency in data models.
• Define and enforce data modeling best practices, including naming conventions, metadata management, lineage, and governance.
• Collaborate closely with Data Analysts, BI developers, and Product Owners to ensure KPI alignment and usability of datasets.
• Develop enterprise-wide data products to enable self-service analytics and consistent reporting.
• Apply data quality, partitioning, and optimization strategies in Databricks/Delta Lake environments.
• Maintain documentation, data dictionaries, and model diagrams for stakeholder consumption.
• Mentor junior data engineers/modelers and promote knowledge sharing within the team.

Qualifications

• Strong expertise in Data Modeling, preferably within Retail, Stock, or Master Data domains.
• Proficiency in Data Vault 2.0, Dimensional Modeling, Star Schema, Kimball and Inmon methodologies.
• Hands-on experience with SQL for model development, optimization, and validation.
• Practical experience with Databricks, Delta Lake, and cloud-native data architectures.
• Experience designing enterprise data warehouses, marts, and Gold-layer datasets.
• Familiarity with Business Intelligence (BI) tools such as Power BI, Tableau, Qlik, and their integration with modeled datasets.
• Proven ability to create enterprise data products that enable analytics at scale.
• Educational qualification: Degree in Computer Science, Information Technology, or related field (not explicitly specified).

Preferred Skills

• Experience with data governance and compliance practices.
• Knowledge of machine learning concepts and their applications in data modeling.

Experience

• Minimum 8+ years of relevant technical experience in data modeling.

Environment

The work setting is not explicitly specified. Further details on location, remote work options, or physical working conditions have not been provided.

Salary

Not specified.

Growth Opportunities

Not specified.

Benefits

Not specified.