Remote Snowflake Data Modeler for Pharma Platform

Fusion Consulting

New Haven (CT)

On-site

USD 90,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Remote work options
Flexible time off
Global team collaboration
Birthday gift

Job summary

Fusion Consulting is seeking a skilled Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our pharmaceutical clients.

This mid-level role requires strong Snowflake physical modeling and SQL skills, collaboration with data engineers, governance alignment with Collibra, and delivery of scalable, well-documented data solutions in a global, remote-ready environment.

Qualifications

  • 4–7 years of experience as a Data Modeler or similar role.
  • Proven Snowflake physical data modeling and SQL expertise.
  • Experience with Data Vault 2.0 is required.
  • Familiarity with Collibra or other metadata governance platforms.
  • Experience with AWS services, especially S3, is a plus.

Responsibilities

  • Design and implement Snowflake physical data models for scalable platforms.
  • Translate conceptual models to Snowflake schemas, tables and views.
  • Collaborate with data engineers to refine ETL/ELT processes.
  • Align models with governance standards and metadata with Collibra.
  • Document all modeling and transformation logic for traceability.
  • Support performance tuning of data pipelines.
  • Work in a distributed, global environment with stakeholders.

Skills

Snowflake data modeling
SQL
Data governance
Documentation
Remote collaboration
Communication

Tools

dbt
Matillion
Fivetran
Collibra
AWS S3

Job description

Fusion Consulting is seeking a skilled Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our pharmaceutical clients.

This mid-level role requires strong Snowflake physical modeling and SQL skills, collaboration with data engineers, governance alignment with Collibra, and delivery of scalable, well-documented data solutions in a global, remote-ready environment.

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