Senior Database Expert

3 days ago

Melbourne, Victoria, Australia XPT Software Full time $100,000 - $140,000 per year

This role is critical to ensuring the performance, resilience, and scalability of our data platforms. You will work closely with engineering teams to design, optimize, and maintain enterprise-grade database systems across multiple environments.

Key Responsibilities

· Design and implement efficient, scalable, and secure database solutions.

· Analyze and optimize SQL queries and stored procedures (SQL, PL/SQL, T-SQL, pg/PL, etc.).

· Lead physical and logical database design, including normalization, indexing, and partitioning strategies.

· Develop and maintain robust backup and recovery strategies, including disaster recovery runbooks.

· Conduct performance tuning using wait events, I/O statistics, buffer cache analysis, and parameter adjustments.

· Ensure database security and compliance with standards such as GDPR, PCI, and SOX.

· Architect and manage high availability and replication strategies (e.g., Always On AG, RAC, Patroni).

· Evaluate and recommend improvements to existing database configurations and architectures.

Core Technical Expertise in:

Maria DB Galera Cluster (Must have)

SQL and procedural extensions (PL/SQL, T-SQL, pg/PL)

Database design and optimization

Backup/recovery and disaster recovery planning

Performance tuning and diagnostics

Security, encryption, auditing compliance (database at rest state as well as interface/API's (in transit)

High availability and replication technologies (clustering)

Platform & Tooling Proficiency:

Multiproduct fluency. Experience with both enterprise RDBMS (e.g., Oracle, SQL Server) and open-source engines (e.g., PostgreSQL, MySQL/MariaDB)

Strong understanding of OS and storage-level performance (Linux I/O scheduling, file systems, SAN)

Scripting and automation using Bash, PowerShell, Python or Go

Monitoring tools such as Prometheus, Grafana, SQL Server DMVs, Oracle AWR/ASH

Familiarity with cloud-native database services (e.g., RDS, Aurora, Cloud SQL, Azure SQL MI) and containerized deployments (e.g., Postgres on Kubernetes with Crunchy or Zalando operators)

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