This role focuses on Data Modeling within Data Architecture. The Data Modeler will collaborate with business stakeholders, data owners, end-users, and architects to design and implement current and future data models.

Key responsibilities include building data pipelines, ingesting data, and performing transformations. The position emphasizes adherence to established data engineering standards and best practices. Familiarity with Agile methodologies is also beneficial.

Develop and maintain data models, ensuring alignment with business requirements. Build and optimize data pipelines, incorporating data ingestion and transformation logic. Implement data harmonization and validation processes. Utilize ETL tools, Snowflake, and Git for development and version control. Collaborate with teams to troubleshoot data issues and ensure data quality. Participate in technical discussions and contribute to documentation.

A minimum of 2-5 years of experience in Data Modeling and Data Architecture is required. Candidates must possess strong skills in Data Modeling Techniques and Methodologies. Experience with Snowflake Data Warehouse is essential, with a minimum of 5 years preferred. Proficiency in ETL fundamentals, SQL, Git, and API integration is necessary. Basic exposure to cloud platforms like AWS, Azure, or GCP is advantageous. A Bachelor's degree in Computer Science, Engineering, or a related field is expected. A total of 15 years of full-time education is a prerequisite.