This role will lead the design and implementation of cloud-native data architectures using medallion and modern data lake architectures, integrating services such as Azure SQL, Synapse, Cosmos DB, Data Lake, Databricks, PySpark Notebooks, Power BI, and Dataverse. The Role will also drive innovation in data analytics, automation, and application development, while fostering collaboration across IT, business, and governance teams.

Essentials requirements for this position:

• Non negotiables: Data Modelling, Databricks, Data Quality, and Large Volume / Multi Data Lake Structures.


• Financial Services experience at least it’s not only insurance

The following is required to be considered for this position:

• BCom or BSc degree or equivalent in IT | Business qualification


• Minimum 7 years of experience in enterprise-level data architecture, solution design and modeling of...