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

Bachelors 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

Principal – Data Modeler