Azure Cloud Operations Engineer

The ideal candidate will manage and maintain our client's enterprise-scale data environment. They will have strong expertise in Azure administration, operations, and infrastructure, with hands-on experience in Azure Synapse. This role focuses on ensuring the performance, security, and reliability of cloud-based data solutions within a large corporate environment.

This is an operations-focused position. The candidate will work closely with IT and data teams to support and optimize existing data infrastructure and services.

• Administer and monitor Azure cloud services, including compute, storage, networking, and security.

• Configure, maintain, and troubleshoot Azure Synapse workspaces and related services.

• Support enterprise data environments for large-scale organizations (10,000+ employees), ensuring operational efficiency and compliance.

• Collaborate with BI, analytics, and data engineering teams to maintain robust data pipelines and reporting systems.

• Implement and follow procedural standards, governance policies, and operational best practices.

• Respond to incidents, perform root cause analysis, and ensure timely resolution of operational issues.

• Document processes, configurations, and operational procedures.

Do you have a Master's degree?, What you will need to succeed in this position:

• Bachelor's degree and at least 7 years of experience in IT (or Master's degree and at least 3 years of experience)

• Excellent knowledge of Azure administration, operations, and infrastructure.

• Hands-on experience (minimum 1 year) with Azure Synapse.

• Proven experience working in large enterprise data centers (10,000+ employees) (minimum 1 year).

• Strong procedural and technical mindset; resilient and able to work under pressure.

• Azure-related certifications (e.g., Azure Administrator, Azure Data Engineer) are a plus.

• (Optional) Familiarity with Microsoft Fabric, Azure DataLake Storage, and other Azure data analytics solutions.

• (Optional) Understanding of data engineering, ETL, data warehousing/lakehousing, dashboarding/reporting, or data governance.

• C1-level English proficiency (written and spoken).