Key Responsibilities:

Design and develop conceptual, logical, and physical data models based on business requirements and data analysis.
Collaborate with business stakeholders, data analysts, and database administrators to understand data requirements and ensure data models meet business needs.
Develop and maintain data dictionaries, data lineage, and other documentation related to data models.
Identify and resolve data model issues and provide recommendations for improving data model performance and efficiency.
Develop and implement data modeling standards and best practices.
Evaluate new data management technologies and tools and make recommendations for their use in data modeling.
Work closely with data architects and database administrators to ensure data models are aligned with the overall data architecture.
Participate in data integration projects to ensure data models are integrated seamlessly with other systems.
Conduct data model reviews and provide feedback to improve data quality and consistency.
Mentor and train junior data modelers.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.
Minimum of 3 years of experience in data modeling.
Strong understanding of data modeling concepts and techniques, such as entity-relationship modeling, dimensional modeling, and data normalization.
Proficient in data modeling tools such as ERwin, ER/Studio, or PowerDesigner.
Experience with data modeling in relational databases, data warehouses, and data lakes.
Knowledge of data management and data integration concepts.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
Ability to work independently and in a team environment.
Experience with Agile methodologies is a plus.

Join our team and be a part of shaping our organization's data landscape.

Hashtags