What makes you a great fit:

• Develop conceptual, logical, and physical data models to meet business requirements
• Create, maintain, and optimize enterprise data models in cloud environments like GCP or AWS
• Work closely with stakeholders to translate business requirements into scalable data models
• Design and implement BigQuery partitioning and clustering strategies for performance optimization
• Collaborate with Data Architects and Engineers to ensure data integrity and security across the data pipeline
• Define data relationships, indexing, and normalization practices
• Provide guidelines for data consistency, accuracy, and data lineage tracking across systems
• Establish standards for data quality and validation rules in collaboration with Data Quality Engineers
• Experience working with data modelling tools (e.g., Erwin, DBT, or equivalent)
• Conduct performance tuning and review data model impact on system performance
• Define the best practices for data versioning and schema evolution
• Ensure documentation of data models and data dictionaries for organizational transparency.
• Strong expertise in data modelling concepts and database design (BigQuery, Snowflake)
• Proficiency in SQL and Python
• Knowledge of cloud data warehousing and ETL/ELT processes
• Understanding of business rules, data governance, and data quality processes