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.Skills Required
er / studio, Erwin, Data Modeller, Data Modeling, Dimensional Modeling