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Cloud Data Modeller
2 weeks ago
We are seeking an experienced data modeler to work on designing, governing, and implementing conceptual, logical, and physical data models across modern cloud platforms.
- Independently design and deliver conceptual, logical, and physical data models for cloud and on-premises platforms.
- Govern data design and modelling by documenting metadata, business definitions, and constructing database objects for enterprise and investment projects.
- Build a deep understanding of enterprise business domains (Customer, Sales, Finance, Supplier, Technology Inventory) to create scalable and reusable data solutions.
- Lead collaborative reviews of data model design, security, and code to ensure alignment with data product development.
- Demonstrate expertise across multiple data paradigms: low-latency, relational, analytical, unstructured data lakes, and SAP data models.
- Develop reusable, cloud-centric data models and support data mapping and integration efforts.
- Partner with data stewards to support data discovery, governance, and business stakeholder engagement.
The ideal candidate will have strong experience with data modelling tools, domain-specific data modelling for CPG, Manufacturing, Sales, Finance, Supplier, Customer, and at least one MPP database technology (Databricks Lakehouse, Redshift, Synapse, Teradata, Snowflake).
- Strong proficiency with data modelling tools (ER/Studio, Erwin, IDM/ARDM).
- Experience in domain-specific data modelling for CPG, Manufacturing, Sales, Finance, Supplier, Customer.
- Hands-on expertise with at least one MPP database technology.
- Experience with GitHub or other version control systems, CI/CD pipelines, and deployment automation.
- Familiarity with metadata management, data lineage, and glossaries.
- Working knowledge of Agile, DevOps, and DataOps methodologies.
