We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards.
What You Will Be Doing:
- Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability.
- Translate conceptual and logical models into Snowflake-ready schemas, tables, and views.
- Collaborate with data engineers to refine ETL/ELT processes and data integration patterns.
- Align models and metadata with governance standards and tools, including Collibra.
- Ensure all modeling and transformation logic is well-documented for traceability and compliance.
- Support performance tuning and optimization of data pipelines.
- Work in a distributed, global workplace with both technical and business stakeholders.