Data Modeller

Looking for an experienced Data Modeler with a strong foundation in dimensional data modeling and a proven ability to design and maintain conceptual, logical, and physical data models. The ideal candidate will have a minimum of 5+ years of experience in data modeling and architecture, preferably within the banking or financial services industry.

Key Responsibilities

Design, develop, and maintain dimensional data models to support analytics and reporting.

Design conceptual, logical, and physical data models Utilize AWS services for scalable data model design

Align data models with business rules and governance standards.

Collaborate with business stakeholders, data architects, and engineers to ensure data models align with business rules and data governance standards.

Translate business requirements into scalable and efficient data models.

Maintain comprehensive documentation for data models, metadata, and data dictionaries.

Ensure consistency and integrity of data models across systems and platforms.

Partner with data engineering teams to implement models in AWS-based environments, including Redshift, Glue, and Lake Formation.

Required Skills and Qualifications

5+ years of experience in data modeling, with a focus on dimensional modeling and data warehouse design.

Proficiency in developing conceptual, logical, and physical data models.

Strong understanding of data governance, data quality, and metadata management.

Hands-on experience with AWS services such as Redshift, Glue, and Lake Formation.

Familiarity with data modeling tools (e.g., ER/Studio, ERwin, or similar).

Excellent communication skills and ability to work with cross-functional teams.

Preferred Qualifications

Experience in the banking or financial services sector.

Knowledge of data lake architecture and modern data stack tools.

AWS or data modeling certifications are a plus.