- Administer and optimize high‑volume PostgreSQL systems (including Cloud SQL) in highly available environments.
- Design and own Terraform modules for GCP databases: Cloud SQL (PostgreSQL), Memorystore (Redis/Valkey), AlloyDB, Spanner, and BigQuery.
- Manage large transactional replication with low‑latency delivery; use BigQuery as a replication target and tune performance/cost.
- Implement database changes via IaC (Terraform with GitHub PRs) following performance, security, and reliability best practices.
- Establish backup/restore, PITR, HA/failover testing, DR runbooks, and an overall database support plan.
- Collaborate with engineering teams on schema reviews, query optimization, and BigQuery governance.
- Handle security and audit tasks; respond to support requests and data change needs promptly.
- Support incident response and participate in on‑call rotations (including off‑hours, Central Time) and scheduled maintenance such as patching, large data scripts, VLDB index work, and DR testing.
Education and/or Experience
- 8+ years of prior work experience
- Experience in administering and optimizing PostgreSQL Server environments, including expertise in transactional replication.
- Experience with GCP CloudSQL PostgreSQL and knowledge of PostgreSQL database management.
- Experience in Memorystore for Redis, AlloyDB, Spanner and BigQuery preferred.
- Experience with other cloud-based database technologies or platforms, such as Azure SQL or AWS RDS, preferred.
- Experience with Infrastructure as Code tools such as Terraform and version control systems like GitHub for managing database infrastructure changes.
- Experience with high-availability architectures, disaster recovery planning, and execution.
Required Skills/Abilities
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Excellent verbal and written communication skills.
- Strong analytical and troubleshooting skills with attention to detail.
- Strong collaboration skills and the ability to work effectively with cross-functional teams.
- Expertise in Memorystore for Redis, AlloyDB, Spanner and BigQuery preffered.
- Familiarity with cloud-based database systems, preferably Google Cloud Platform (GCP).
- Familiarity with DevOps methodologies, Terraform and CI/CD pipelines.
- Knowledge of GCP BigQuery, including performance tuning and administrative capabilities.
- Knowledge of programming and scripting knowledge for automation.
- Willingness to provide on-call and off-hours technical support as required.
Compensation
$70-$80 per hour for the 12 month contract duration