Principal - Data Modeler

Key Responsibilities

• Design, develop, and maintain logical and physical data models for application, Analytical systems and data science use cases.

• Ensure data models are scalable, flexible, and aligned with business and technical requirements.

• Collaborate with Data Architects, ETL Developers, and BI Analysts to ensure alignment of models with data pipelines and reporting needs.

• Optimize data models for performance, scalability, reliability, and ease of integration.

• Document data models, data flows, and metadata for ongoing reference and governance.

• Evaluate and recommend tools, technologies, and best practices for data modelling.

• Support data quality, data governance, and compliance initiatives.

• Work closely with stakeholders to understand business requirements and translate them into robust data models.

• Ensure data modelling best practices and standards are followed.

What We Are Looking For

Required Qualifications

• Bachelor’s in Engineering or equivalent experience in a related field

• 10-14 years of business experience, with at least 8 years of experience in Data Science & Digital Solutions

• Knowledge of AI development and architecture

• Strong knowledge of relational, NoSQL, and graph databases.

• Experience with data modelling tools (e.g., Erwin ).

• Understanding of data warehousing, ETL processes, and data integration.

• Excellent analytical, problem-solving, and communication skills.

• Ability to work collaboratively in a fast-paced, agile environment.

• Experience with cloud platforms (Azure).

• Knowledge of data security and privacy best practices.

• Self-motivated and a proactive problem solver who can work independently and in teams