Responsibilities:

• Collaborate with stakeholders to understand data requirements and translate them into logical and physical data models.
• Analyze existing data sources and identify opportunities for data integration, consolidation, and standardization.
• Design and develop data models using industry’s best practices, ensuring scalability, performance, and maintainability.
• Implement data modeling standards and guidelines to ensure consistency and quality across the organization.
• Perform data profiling and analysis to identify data quality issues and recommend data cleansing and enrichment strategies.
• Collaborate with data engineers and architects to ensure seamless integration of data models into the overall data architecture.
• Validate and optimize data models to ensure efficient data retrieval, storage, and processing.
• Stay updated with the latest trends and advancements in data modeling techniques and tools.
• Mentor and provide guidance to junior data modelers, fostering a collaborative and learning-oriented environment.

Requirements: 

• Bachelor's or master's degree in computer science, Information Systems, Engineering or a related field.
• Minimum of 7 years of experience as a Data Modeler, Data Architect, or similar role.
• In-depth knowledge of data modeling concepts and techniques, including dimensional modeling, data vault, and relational modeling.
• Proficiency in SQL and experience with data modeling tools such as ERwin, ER/Studio, or another similar tool.
• Experience with data warehousing concepts and technologies.
• Experience with data profiling and data quality management.
• Knowledge of industry best practices and emerging trends in data modeling and data management.