Senior Data Modeler (Snowflake)

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 environment with both technical and business stakeholders. Requirements • 4-7 years of experience as a Data Modeler or similar role. • Strong expertise in Snowflake data modeling and SQL. • Strong business partnering, communication, and stakeholder management skills, with the ability to gather, challenge, and translate business requirements into scalable data solutions. • Proven experience working directly with business users, product owners, and technical teams to define data requirements, business rules, and data models. • Strong understanding of ETL/ELT and data integration concepts; experience with dbt, Matillion, or Fivetran is a plus. • Data Vault 2.0 experience is required. • Experience with metadata and data governance platforms, ideally Collibra . • Familiarity with AWS S3 is a plus. • Solid understanding of data modeling methodologies, including Data Vault, Star Schema, and Normalization. • Excellent communication, presentation, and documentation skills, with the ability to explain technical concepts to non-technical stakeholders. • Ability to work independently in a remote, cross-functional environment. Preferred • Experience within pharmaceutical or life sciences organizations. • Familiarity with data quality tools such as Ataccama . • Experience working in Agile environments and facilitating requirements-gathering workshops. WHY YOU SHOULD JOIN FUSION: At Fusion, you’ll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You’ll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes. You’ll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork—empowering you to grow both professionally and personally. Joining Fusion means becoming part of a company that: • Builds strong, trusted partnerships with clients , delivering tailored solutions that create real business value. • Drives delivery excellence , holding ourselves accountable for the quality and impact of every outcome. • Encourages entrepreneurial thinking , empowering you to take initiative, solve problems, and lead change. • Operates with a truly global mindset , where diverse perspectives, cultures, and collaboration fuel our success. WHAT WE OFFER - FUSION BENEFITS We’ve designed our benefits to suppo