Senior Data Modeler

Job Summary:

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:

• Bachelor s or masters 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.