Senior Azure Database Engineer – Cloud Data Specialist

Mastercard Inc.; Celbridge; On-site; EUR 90,000 - 130,000; Full time

Job summary

Mastercard Inc. is seeking a Senior Platform Engineer focused on Azure database platforms. You will design, implement, and optimize Azure SQL, Cosmos DB, and PostgreSQL solutions while ensuring security, compliance, and reliability across services.

You will automate deployments with IaC, monitor performance, and collaborate with engineers on data modelling and queries to support Mastercard's global platform.

Qualifications

• Proven experience with Azure database services (Azure SQL, Cosmos DB, PostgreSQL).
• Strong T-SQL/PL/pgSQL and query optimization skills.
• CI/CD and DevOps practices for database deployments.
• Infrastructure as Code using Terraform, Bicep, ARM templates.
• Data security, encryption, and GDPR compliance knowledge.
• Experience with monitoring tools (Azure Monitor, Log Analytics).
• Excellent problem-solving and communication skills.

Responsibilities

• Design and implement Azure-based database solutions using Azure services.
• Optimize database performance, scalability, and reliability.
• Implement and manage backup, recovery, and disaster recovery strategies.
• Monitor and troubleshoot database issues, ensuring high availability and data integrity.
• Automate database deployments and updates using IaC tools.
• Collaborate with development teams on data modelling, schema design, and query optimization.
• Maintain documentation and provide knowledge sharing across teams.

Skills

Azure DB services

T-SQL / PLpgSQL

Performance tuning

CI/CD for DBs

Terraform / Bicep

Data security/GDPR

Monitoring tools

Scripting: PowerShell/Python

Tools

ARM templates

Job description

Mastercard Inc. is seeking a Senior Platform Engineer focused on Azure database platforms. You will design, implement, and optimize Azure SQL, Cosmos DB, and PostgreSQL solutions while ensuring security, compliance, and reliability across services.

You will automate deployments with IaC, monitor performance, and collaborate with engineers on data modelling and queries to support Mastercard's global platform.