Azure Data Arquitect

About the Opportunity :

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.

About the Role : Mission

The Data Architect it’s a senior role, that will work with a range of interdisciplinary teams and departments involved in the Data&AI pipeline. The role will design the Company Data Strategy, from the ground up, designing data models and ensuring the usage of best patterns to access the data.

Experience

The ideal candidate will have demonstrated experience in designing highly scalable data architectures, both batch and streaming, at hyperscale (100’s TBs per day) data volumes and for a multi-region deployment. The ideal candidate would have deep experience with cloud-native data structures and types, both structured and unstructured. Furthermore, the ideal candidate would have experience with high availability, low latency data architectures, for hyperscale big-data management and processing, considering cost effectiveness, by using Azure data stack services, including Azure Databricks.

Responsibilities

• Designing and implementing end-to-end data solutions, using Azure services, such as Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB, among others, and aligned with the Data Governance Framework to provide accurate and quality data, data lineage and data security capabilities.
• Translating products requirements into data solutions, ensuring that the data architecture aligns with the organization’s strategic goals.
• Developing and maintaining data models that support the structure and flow of data within the organization.
• Implementing effective monitoring metrics and strategies to ensure the performance and integrity of data systems.
• Developing and implementing strategies for data acquisition, recovery, and archiving, ensuring data continuity and availability.
• Collaborating with data engineers, data scientists, and cloud teams to resolve technical issues related to data and support their infrastructure needs.
• Working with data governance teams to ensure that data solutions comply with security and privacy regulations and policies.
• Monitoring system performance and troubleshooting issues to maintain the efficiency and security of data systems.
• Staying updated with best practices and new developments in the Azure platform to optimize data usage and storage within the organization.

Qualifications

Required Skills