At Azki, we are building data-driven products that serve millions of users and power critical insurance workflows. We are looking for a Senior Database Administrator (DBA) to join our Data & Platform teams and take ownership of the reliability, performance, scalability, and evolution of our database and data streaming platforms.
You will be deeply involved in data architecture, streaming, observability, automation, and early technical decision-making for new systems. You will collaborate closely with backend engineers, data engineers, and infrastructure teams to ensure Azki’s data platforms are robust, scalable, and future-proof.
Responsibilities
- Design, deploy, operate, and optimize MySQL and ClickHouse clusters for production workloads.
- Manage replication, binlog-based architectures, and data synchronization pipelines across multiple systems.
- Own backup, recovery, disaster recovery, and high-availability strategies.
- Troubleshoot and resolve performance issues related to queries, indexing, locking, storage, and resource usage.
- Plan capacity, storage, and performance growth for transactional and analytical databases.
- Support and maintain additional data stores such as MongoDB and PostgreSQL where needed.
- Implement and maintain monitoring, alerting, and dashboards using Grafana.
- Take part in incident response, root cause analysis, and post-mortems related to data systems.
- Automate database operations, provisioning, and maintenance using scripting and infrastructure best practices.
- Act as a database and data platform advisor in the early stages of new projects.
- Review database schemas, data models, and access patterns to ensure performance, security, and scalability.
- Define and enforce standards for data retention, access control, cost efficiency, and operational excellence.
Requirements
- At least 4 years of hands-on experience as a DBA, Data Platform Engineer, or a similar role.
- Strong expertise in MySQL and other OLTP databases, including replication, binlog management, performance tuning, and schema management.
- Solid experience operating ClickHouse in analytical and high-volume environments.
- Experience with monitoring and observability tools, especially Grafana.
- Good understanding of data architecture concepts, transactional vs. analytical workloads, and consistency models.
- Strong Linux skills, including system tuning, monitoring, and troubleshooting.
- Ability to automate operational tasks using scripting languages such as Bash or Python.
- Experience collaborating with cross-functional teams and supporting production systems under real-world constraints.
- Strong problem-solving mindset and attention to detail in high-impact systems.