Senior Data Modeler

 We are seeking a highly skilled Data Modeler with expertise in Iceberg, and Snowflake to design and optimize data models for scalable and efficient data architectures. The ideal candidate will work closely with cross-functional teams to ensure data integrity, consistency, and performance across platforms. 

Key Responsibilities: 

• Design and implement robust data models tailored to meet business and technical requirements. 
• Leverage Starburst, Iceberg, and Snowflake to build scalable and high-performance data architectures. 
• Optimize query performance and ensure efficient data storage strategies. 
• Collaborate with data engineering and BI teams to define data requirements and ensure alignment with business objectives. 
• Conduct data profiling, analysis, and quality assessments to maintain data accuracy and reliability. 
• Document and maintain data lineage and governance processes. 
• Stay updated on emerging technologies and industry best practices for data modeling and analytics. 

Qualifications: 

• Bachelors or master's degree in computer science, Data Science, or a related field. 
• 5+ years of experience in data modeling, data architecture, and database design. 
• Hands-on expertise with Starburst, Iceberg, and Snowflake platforms. 
• Strong SQL skills and experience with ETL/ELT workflows. 
• Familiarity with data lakehouse architecture and modern data stack principles. 
• Knowledge of data governance, security, and compliance practices. 
• Excellent problem-solving and communication skills. 

Preferred Skills: 

• Experience with other BI and analytics tools like Tableau, Qlik Sense, or Power BI. 
• Knowledge of cloud platforms like AWS, Azure, or GCP. 
• Knowledge on Hadoop
• Familiarity with data virtualization and federation tools.