Description Job responsibilities Author and optimize queries for performance and correctness. Monitor and tune database performance, including query tuning, indexing, partitioning, and caching. Build and maintain monitoring, alerting, and observability for database systems. Support production incidents and perform root cause analysis; participate in on-call rotations. Assist application teams with data access patterns, migrations, and release planning. Engage technical teams and business stakeholders to discuss and propose data architecture approaches to meet current and future needs. Evaluate recommendations for new technologies and provide actionable feedback. Execute creative data architecture solutions, including design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develop secure, high-quality production code; review and debug code written by others. Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Required qualifications, capabilities, and skills Strong SQL skills, including complex joins, window functions, aggregates, subqueries, and explain/analyze plans. Experience with at least one major RDBMS: PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, or Oracle. Performance tuning experience, including indexing strategies, query profiling, and execution plan interpretation. Experience with monitoring and observability tooling such as Prometheus, Grafana, Datadog, Dynatrace or New Relic. Familiarity with versioned schema migrations using tools such as Flyway, Liquibase, Alembic, or sqitch. Good understanding of storage, IOPS, and how database workload relates to underlying infrastructure. Familiarity with cloud-managed databases and their operational tradeoffs, including AWS RDS/Aurora, Google Cloud SQL, and Azure SQL/DMS. Strong troubleshooting skills and experience handling production incidents. Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle. Advanced knowledge of one or more software, application, and architecture disciplines, with the ability to evaluate current and emerging technologies to recommend the best data architecture solutions for future state architecture.