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Cloud-Native Data Solutions Architect

hace 2 semanas


Burgos, Burgos, España beBee Careers A tiempo completo
Data Architect Role Summary

A Data Architect is responsible for designing, implementing, and maintaining end-to-end data solutions using Azure services. The role requires translating product requirements into data solutions that align with the organization's strategic goals.

Responsibilities
  • Designing and implementing data solutions using Azure services such as Azure SQL Database, Data Factory, Data Lake Store, and others.
  • 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.

Key Skills and Qualifications
  • Bachelor's degree in computer science or engineering.
  • 7+ years of experience as a Data Architect for cloud-native big data platforms.
  • Deep knowledge of Azure data cloud services and technologies.
  • Strong analytical skills to interpret complex data and derive insights.

About the Position

This role involves working with interdisciplinary teams and departments involved in the Data&AI pipeline. The ideal candidate will have demonstrated experience in designing highly scalable data architectures, both batch and streaming, at hyperscale data volumes and for multi-region deployment.

The role requires deep experience with cloud-native data structures and types, including structured and unstructured data. Additionally, experience with high availability, low latency data architectures for hyperscale big-data management and processing is essential.

Candidates should have excellent verbal and written communication skills, with fluency in English.


What We Offer

This role provides an opportunity to work on cutting-edge data architecture projects using Azure services. The successful candidate will be part of a dynamic team and have access to continuous learning and professional development opportunities.

We are looking for candidates who can bring innovative ideas and expertise to the role, ensuring the delivery of high-quality data solutions that meet business needs.