We're looking for an experienced Senior Database Administrator to join the team at FinQuery. You should be highly proficient with schema design, indexing, advanced query tuning, and database architecture. Beyond deep technical expertise, we are looking for a seasoned professional with strong mentorship and knowledge-sharing capabilities to elevate the entire engineering team. We also value leaders who integrate AI tools into their daily workflows to drive efficiency. Whether you built those habits through professional experience, technical leadership, or continuous self-study, we'd love to talk.
We run Agile with Kanban, and we believe in continuous improvement in our systems, our tools, and how we work together. In this role, you'll lead hands-on PostgreSQL administration on AWS, solve complex query performance challenges, guide data architecture strategy, and mentor junior and mid-level engineers. You'll collaborate closely with engineering leadership while leveraging AI-driven approaches to optimize workflows and scale infrastructure efficiently.
How You'll Make an Impact:
Help administer and monitor AWS PostgreSQL databases, picking up best practices for reliability and performance along the way
Lead performance optimization efforts, spot complex database bottlenecks, and implement advanced tuning solutions
Collaborate daily with development teams and other departments since communication is a big part of this job
Review and approve developer-driven data architecture changes, establishing guidelines and providing structured feedback
Dig into query performance problems and grow your skills in database optimization
Take part in release and deployment processes, getting real exposure to production workflows
Contribute to internal improvements like automating manual tasks, speeding up data delivery, and supporting infrastructure growth
Use AI agents, LLM-powered tools, and automation to handle routine work like query analysis, schema reviews, documentation, and troubleshooting more efficiently
Keep RDS systems running well day to day
Help assess and improve data schemas for efficiency by reviewing indices, spotting redundant columns, and evaluating table structures
Stay curious, research new technologies, propose AI-driven solutions, and bring ideas to make our systems and team more productive
Actively mentor junior and mid-level engineers, fostering technical growth, establishing best practices, and driving knowledge-sharing across teams
The Expertise You'll Bring:
A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration
Experience or strong academic exposure to designing, building, and scaling databases
Familiarity with SQL and a real interest in going deeper with PostgreSQL and cloud database services
Comfort using AI assistants, copilots, and LLM-powered tools as a core part of how you work, not a novelty you try occasionally
A team-first mindset where success is defined by what we accomplish together
A proactive, curious attitude and a genuine desire to keep learning
7-8 years of professional experience as a Database Administrator or Database Engineer managing mission-critical databases
7-8 years of experience working with enterprise databases and scalable data architectures
Hands-on experience with AWS RDS or Aurora
Demonstrated use of AI agents or LLM-powered tools to do technical work more efficiently
Demonstrated track record of technical mentorship, team leadership, and cross-functional knowledge sharing
Hosting & Administration: AWS RDS and Aurora
Database Systems: PostgreSQL and MS SQL Server
Languages: SQL, Python, and Shell Scripting
AI & Agentic Tools: LLM-powered assistants like Gemini, Claude, and GitHub Copilot, alongside AI-driven automation workflows
Data Warehouses & Integration: Snowflake, FiveTran, Celigo, and Boomi
Build & Deployment: GitHub Actions, Terraform, Liquibase, and Jenkins
Analytics & Logging: DataDog and Power BI
Communication: Atlassian Jira and Slack
Preferred Qualifications
Tech You'll Work With
Skills Required
- Foundation in relational databases and data architecture through professional work, school projects, internships, or personal exploration
- Experience or strong academic exposure designing, building, and scaling databases
- Familiarity with SQL and interest in PostgreSQL and cloud database services
- Comfort using AI assistants, copilots, and LLM-powered tools as part of daily work
- Team-first mindset and strong collaboration skills
- Proactive, curious attitude and willingness to keep learning
- 7-8 years of professional experience as a Database Administrator or Database Engineer managing mission-critical databases
- 7-8 years of experience working with enterprise databases and scalable data architectures
- Hands-on experience with AWS RDS or Aurora
- Demonstrated use of AI agents or LLM-powered tools for technical work
- Track record of technical mentorship, team leadership, and cross-functional knowledge sharing
What We Do
We're FinQuery, and we're here to help you manage your finances in a whole new way. More than 36,000 professionals rely on FinQuery to make better business and financial decisions for their largest areas of spend - leases, software subscriptions, and financial contracts - something no other provider offers in the market. Our award-winning AI-powered software helps businesses minimize risk, increase efficiency, and reduce costs. And what makes it truly intelligent? We let you do it all on one platform. FinQuery gives you the power of total visibility, so that Finance and Accounting can simplify accounting, forecast accurately, and budget confidently. And the IT department can clearly see and manage the company’s software stack with actionable insights, smart automation, and helpful tools. You’ll see the most where you’re spending the most.
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