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The ideal candidate will lead and manage enterprise data modelling activities, including conceptual, logical, and physical models. They must design and maintain these models, set standards for peer review, and oversee release processes.
Additionally, the candidate will drive improvements in modelling practices, documentation, and development workflows. This includes working closely with business and technical teams to deliver high-quality data models that support analytics, reporting, and data governance outcomes.
Requirements- Experience in data modelling using metadata or model-driven frameworks is essential.
- The candidate should be proficient in at least two of the following: MS SQL, Teradata, Snowflake, Redshift, Databricks.
- They must have a solid understanding of DevOps processes and tools.
- A high-level programming capability, preferably with experience in Python, R, SAS, or Java, is required.
- Strong knowledge of version control practices and tools is necessary.
- The ideal candidate has at least 4 years of experience in a similar data modelling role.
We are looking for an experienced professional who can make a significant contribution to our team.
