DBA Engineer II
Location: Phoenix, AZ – Day 1 onsite – min 3 days Office.
Duration: 12 months
In-person interview: Yes - Mandatory
Key Responsibilities
· Administer database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability.
· Monitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents.
· Manage and resolve production incidents using established Incident Management processes.
· Perform root cause analysis and drive long-term remediation through Problem Management practices.
· Plan, validate, and implement database changes in alignment with Change Management processes.
· Partner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability.
· Contribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms.
· Develop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency.
· Leverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes.
Required Qualifications
· 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner.
· Strong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability.
· Deep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms.
· Proven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability.
· Experience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines.
· Hands-on experience with AWS and/or Google Cloud Platform database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC.
· Understanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads.
· Knowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root cause analysis.
· Strong troubleshooting, communication, ownership, and collaboration skills in a 24x7 production support environment.
· Solid understanding of database setup, configuration, administration, and replication.
· Ability to learn quickly, work independently, and take ownership of assigned responsibilities.
Willingness to provide rotational weekend and off-hours support as needed.
