Senior Azure Cloud DBA Engineer
Brussels · apply before 3 November 2026
Job description
Senior Azure Cloud DBA Engineer
SQL Server | Azure SQL Database | Cosmos DB | Platform Engineering
1. Job Overview
Position: Senior Azure Cloud DBA Engineer
Location: Brussels Centre, Belgium
Start Date: January 2027
Duration: 12 months (extension possible)
Experience Level: Senior (5–8 years)
Education: Master's degree
Languages: Good command of English (mandatory); Dutch or French is an asset.
Industry: Insurance / Financial Services
2. Mission Context
Our client, a leading organization in the Belgian insurance sector, is accelerating its cloud transformation and modernizing its enterprise database infrastructure.
We are looking for a Senior Azure Cloud DBA Engineer to design, implement, automate, secure, and operate enterprise-grade database platforms on Microsoft Azure.
The role focuses on Azure SQL Database, Cosmos DB, SQL Server, Infrastructure as Code, DevOps automation, and database governance.
You will collaborate with Database Engineers, Cloud Architects, Cybersecurity Specialists, Infrastructure Teams, Application Developers, and Data Governance Experts.
The position combines:
65% Engineering & Build: Cloud architecture, database platform engineering, Terraform development, DevOps automation, governance, and technical innovation.
35% Operational Excellence: Tier-3 support, performance troubleshooting, root cause analysis, security reviews, and technical coaching.
3. Key Responsibilities
Azure Database Platform Engineering
Design, deploy, and maintain scalable Azure SQL Database and Cosmos DB services.
Integrate database platforms into Azure Landing Zones.
Implement secure networking, private connectivity, identity management, backup, high availability, and disaster recovery.
Define reusable, secure, and cost-effective cloud database architecture patterns.
Cosmos DB Engineering & NoSQL Governance
Lead technical initiatives related to Cosmos DB adoption and optimization.
Define NoSQL data modeling standards and governance frameworks.
Optimize database performance, capacity, security, and costs.
Establish documentation, metadata management, and operational governance practices.
Infrastructure as Code & DevOps
Develop and maintain reusable Terraform modules.
Automate database provisioning, configuration, and deployment.
Build and optimize CI/CD pipelines using Azure DevOps.
Implement standardized and repeatable infrastructure deployment processes.
SQL Server & Azure SQL Performance Engineering
Provide senior-level expertise in SQL Server administration and Azure SQL Database.
Perform query optimization, performance analysis, and capacity planning.
Troubleshoot complex database incidents and conduct root cause analysis.
Improve database monitoring, security, availability, and operational reliability.
Data Protection & Non-Production Data Management
Design automated data refresh, masking, and scrambling solutions.
Implement GDPR-compliant anonymization processes.
Ensure data consistency and referential integrity across SQL Server, Azure SQL Database, and Cosmos DB.
Industrialize secure non-production data management processes.
Operational Excellence & Technical Leadership
Deliver Tier-3 database support and technical guidance.
Participate in security assessments and architecture reviews.
Coach junior DBA engineers and promote knowledge sharing.
Contribute to cloud adoption roadmaps, technical studies, and proof of concepts.
4. Required Technical Skills
Database Technologies
Microsoft SQL Server administration and T-SQL
Azure SQL Database
Azure Cosmos DB
Database architecture and data modeling
Performance engineering and database security
Microsoft Azure
Azure Landing Zones
Private Endpoints and Private DNS
Microsoft Entra ID and Managed Identities
Azure Key Vault
Network security
High Availability, Disaster Recovery, Backup & Recovery
Automation & DevOps
Terraform and Infrastructure as Code (IaC)
Azure DevOps and CI/CD pipelines
PowerShell scripting
Git version control
Automated database infrastructure deployment
Monitoring & Governance
Azure Monitor and Log Analytics
SQL Query Store and Extended Events
Root Cause Analysis
Performance troubleshooting
Data, security, and operational governance
5. Required Professional Experience
5–8 years of relevant senior-level database administration and engineering experience.
Strong hands-on experience with Microsoft SQL Server and Azure SQL Database.
Proven experience designing and operating Azure database solutions.
Practical experience with Cosmos DB, including data modeling, performance optimization, and governance.
Demonstrated expertise in Terraform-based deployments and CI/CD automation.
Strong experience in database performance analysis, troubleshooting, and optimization.
6. Preferred Qualifications
Experience working in highly regulated environments, preferably insurance or financial services.
Experience implementing database governance frameworks.
Participation in large-scale cloud transformation programs.
Experience developing reusable cloud platform capabilities.
Familiarity with SQL Managed Instance, Azure Functions, Logic Apps, Azure Batch, Container Apps, or AKS.
Knowledge of AppDynamics, SQL Sentry, Redgate Toolbelt, Redgate Monitor, Erwin Data Modeler, or ER360.
Familiarity with Microsoft Purview, ArchiMate, or TOGAF.
7. Soft Skills
Strong analytical and problem-solving capabilities.
Technical leadership and ownership mindset.
Excellent communication and stakeholder management skills.
Ability to explain complex technical concepts clearly.
Strong collaboration and coaching abilities.
Pragmatic, solution-oriented decision-making.
Commitment to continuous improvement and operational excellence.
8. Ideal Candidate Profile
The ideal candidate is a senior database engineer with strong Microsoft SQL Server expertise and proven Azure cloud engineering experience, particularly in Azure SQL Database and Cosmos DB.
They combine hands-on database administration with cloud architecture, Terraform automation, DevOps practices, and governance expertise.
The successful candidate will help drive the transition from traditional database administration toward a secure, automated, scalable, and cloud-native database engineering model.
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