Full-Time Senior Data Modeler (Snowflake)

• 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 environment with both technical and business stakeholders.

• 4–7 years of experience as a Data Modeler or similar role.
• Proven expertise in Snowflake physical data modeling and SQL.
• Understanding of data integration and ETL/ELT principles; experience with tools like dbt, Matillion, or Fivetran is a plus.
• Experience with metadata and data governance platforms, ideally Collibra.
• Familiarity with AWS services, particularly S3 is a plus
• Solid grasp of data modeling best practices (e.g., star schema, normalization, data vault).
• Ability to work independently in a remote, cross-functional environment.
• Excellent communication and documentation skills.

• Experience in pharmaceutical/life sciences data and regulatory frameworks.
• Familiarity with data quality tools such as Ataccama.

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