Overview:
This position sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment.

• Support day-to-day database operations and service requests across cloud-native (e.g., Cloud SQL, AlloyDB) and legacy SQL Server environments.
• Write and optimize SQL queries, stored procedures, and data models in support of software and data product teams.
• Collaborate with architects and engineers to implement scalable, low-latency database services aligned to OLTP and analytical workload requirements.
• Build and maintain CI/CD pipelines for schema migrations using tools such as Liquibase or Flyway.
• Contribute to the automation of database provisioning, monitoring, and security hardening using Infrastructure-as-Code (Terraform).
• Diagnose and resolve performance issues, using telemetry tools to identify slow queries, inefficient indexing, or capacity bottlenecks.
• Support ETL pipelines and real-time data movement in cloud-native environments, working closely with data engineering.
• Document and maintain operational runbooks, architecture decisions, and troubleshooting guides.
• Partner with principal engineers and the Enterprise Architecture organization to design reusable patterns and blueprints for common database workloads.
• Learn and apply AI technologies: Gain familiarity with AI tools and frameworks to assist in GTM Systems tasks.
• This job description in no way implies that the duties listed here are the only ones that team members can be required to perform.
  Qualifications: