Sr Database Administrator

About Us

Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth management by building tech-forward solutions that help simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech software enables us to support clients such as Stash, Betterment, SoFi, Webull, and eToro, collectively powering access to the stock market for over 22+ million end customers. At Apex, we are changing how the securities industry operates by reinventing the status quo, which was manual, slow, and accessible only by the ultra-wealthy. We're digitizing and democratizing systems so that everyone has an opportunity to invest.

Our offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila are home to over 1,000 employees. We’re proud to be recognized for the innovative work we do, including awards such as Best Places to Work (BuiltIn), WealthTech of the Year (US FinTech Awards), and The World’s Top 250 Fintech Companies (CNBC).

About the Role

The Senior Database Administrator (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 modern cloud-native database solutions such as GCP CloudSQL PostgreSQL, Redis, and BigQuery.

This role requires strong collaboration skills, operational support, and contributions to strategic database initiatives. The Senior DBA will 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.

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.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent work experience.
• 8+ years of prior work 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 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.

Skills

• 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 preferred.
• 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 for automation.
• Willingness to provide on-call and off-hours technical support as required.

Benefits

• Healthcare benefits (medical, dental, vision, EAP).
• Competitive PTO and 401k match.
• Parental leave and HSA contribution match.
• Paid subscription to the Calm app.
• Generous external learning and tuition reimbursement benefits.

Schedule

Hybrid work schedule allowing flexibility to work from home and one of our primary offices.