Sr Database Administrator

Apex Fintech Solutions•Austin, TX

6d•Hybrid

About The Position

Apex Fintech Solutions is seeking a highly motivated and experienced Senior Database Administrator (DBA) to join our team. This individual must have strong database engineering and problem-solving skills, with the ability to work independently in a fast-paced and high-volume database environment in GCP managed databases (Cloud SQL Postgres, Memorystore for Redis/Valkey, AlloyDB, Spanner, BigQuery). The Senior DBA will play a critical role in administering, maintaining, optimizing, and supporting our database systems, ensuring data integrity, performance, and availability. This includes working on both physical and Google Cloud Platform (GCP) native infrastructures. The ideal candidate will have extensive experience with Postgres Server and working with modern cloud-native database solutions such as GCP CloudSQL PostgreSQL, Redis and BigQuery. In addition to hands-on technical expertise, the role also requires strong collaboration skills, operational support, and contributions to strategic database initiatives. Furthermore, the Senior DBA is expected to embrace DevOps practices by automating database operations, implementing Infrastructure-as-Code (IaC) for provisioning and maintaining database environments, managing CI/CD pipelines for database changes, monitoring and alerting using modern tools, and collaborating closely with engineering teams to ensure seamless integration of database systems within the software development lifecycle. A proactive mindset towards continuous improvement, scalability, and reliability in line with DevOps principles is key to succeeding in this role.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering (or equivalent work experience) required
8+ years of prior work experience
Experience in administering and optimizing MongoDB, PostgreSQL Server environments, including expertise in transactional replication.
Experience with GCP CloudSQL PostgreSQL and knowledge of PostgreSQL database management.
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.
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.
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.

Nice To Haves

Experience in Memorystore for Redis, AlloyDB, Spanner and BigQuery preferred.
Expertise in Memorystore for Redis, AlloyDB, Spanner and BigQuery preffered.

Responsibilities

Administer and optimize high‑volume MongoDB and 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.