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A prominent technology company is seeking a full-time Data Architect to drive the design of data architectures and lead integration processes. The ideal candidate will possess extensive experience in Azure data services, develop data strategies, and work collaboratively with interdisciplinary teams. This position offers competitive remuneration and the opportunity to impact organizational data management significantly.
Our client, a technological company, is searching for a full-time Data Architect. Working in the Ground Systems department and reporting to the Head of Data&AI Platform, the Data Architect will lead the usage of data assets across the organization by defining appropriate data models, ensuring optimal data integration, and establishing standards for data management. This involves designing and implementing robust data architectures that support business goals and enhance decision-making processes.
The Data Architect is a senior role that will work with interdisciplinary teams and departments involved in the Data&AI pipeline. The role will design the company’s data strategy from the ground up, including designing data models and ensuring the use of best practices for data access.
The ideal candidate will have demonstrated experience in designing highly scalable data architectures, both batch and streaming, at hyperscale (hundreds of TBs per day) data volumes, and for multi-region deployment. Deep experience with cloud-native data structures and types, both structured and unstructured, is required. The candidate should have experience with high availability, low latency data architectures for hyperscale big-data management and processing, considering cost-effectiveness, using Azure data stack services such as Azure Databricks.