Senior Data Modeler (Snowflake)
Overview
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
- 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 will 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
- 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.
Qualifications
- 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,
- functional environment. - Excellent communication and documentation skills.
Preferred
- Experience in pharmaceutical/life sciences data and regulatory frameworks.
- Familiarity with data quality tools such as Ataccama.
What We Offer
We’ve designed our benefits to support your growth,
- being, and global mobility. Flexibility is a core value, with options for remote work and comprehensive development opportunities.
Our Selection Process
Your time is valuable. That’s why our hiring process is clear, efficient, and focused on mutual fit:
- Upload Your CV – Submit your application using the relevant button, depending on the job platform (approx. 3 minutes).
- Wait for Profile Review – Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks).
- Join an Introductory Call – A brief conversation to tell you more about Fusion, the role, and understand your expectations (15–30 minutes).
- Attend a Technical Interview – A 30-minute session to discuss your skills in more detail.
- Participate in a Client Interview (if applicable) – A
- facing discussion (30–60 minutes online). - Receive Final Feedback – We aim to share timely feedback and move forward quickly.
Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.
- Informações detalhadas sobre a oferta de emprego
Empresa: Fusion Consulting Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 2. 10. 2025
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