Sr. Database Administrator

Finquery, Formerly Leasequery; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual development stipend

Mentorship program

Sabbatical after 5 years

401(k) with matching

Signing stipend for WFH setup

Health benefits

Flexible PTO

Gym membership

Catered lunches

Parental Leave

Fertility/Adoption assistance

Tuition tutoring for children

Job summary

FinQuery is seeking a Senior Database Administrator to lead hands-on PostgreSQL administration on AWS, optimize performance, and guide data architecture strategy. You will mentor junior engineers, collaborate with engineering leadership, and drive AI-driven improvements to scale our subledger-like systems.

The role emphasizes hands-on design, reliability, and continuous learning in a fast-paced Agile environment. Atlanta HQ and competitive benefits are offered.

Qualifications

• Relational databases and data architecture built through work, school, internships, or projects.
• Experience designing, building, and scaling databases.

Responsibilities

• Administer and monitor AWS PostgreSQL databases with reliable performance.
• Lead performance optimization and resolve complex bottlenecks.
• Collaborate daily with development and other teams to ensure alignment.
• Review and approve data architecture changes with guidance.
• Investigate query performance issues and optimize schemas and queries.
• Participate in release and deployment processes for production readiness.
• Automate manual tasks and improve data delivery and scaling efforts.
• Use AI agents and LLM-powered tools to streamline analysis and documentation.
• Maintain and optimize RDS systems day-to-day.
• Mentor junior and mid-level engineers to grow technical skills and share knowledge.

Skills

PostgreSQL

AWS RDS

SQL

Python

Shell scripting

Performance tuning

Mentorship

AI tools

Tools

Snowflake

FiveTran

Celigo

Boomi

GitHub Actions

Terraform

Liquibase

Jenkins

DataDog

Power BI

Jira

Job description

FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accruals—that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.

FinQuery is the global leader in lease accounting (as recognized on G2.com) and serve more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years.

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

Preferred Qualifications

• 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

Tech You'll Work With

• 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

Benefits

• For Your Growth & Career:
• Annual employee development program stipend of $2,000 for each employee
• Mentorship program (available immediately)
• Sabbatical program (4 weeks after 5 years of service)
• Advancement opportunities based on results, not politics
• For Your Financial Well-being:
• 401(k) plan with employer matching
• Signing stipend for a work-from-home setup
• For Your Health & Wellness:
• Great health benefits with multiple plan option
• Flexible PTO (including 11 holidays and your birthday off)
• Free gym membership at our office (Atlanta HQ)
• Casual dress environment (when in office)
• Catered lunches every Tuesday & Thursday (when in office)
• For Your Family & Life:
• Parental Leave Benefits
• Fertility/Adoption Assistance
• Annual tutoring stipend for your children

FinQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, and disability status. FinQuery maintains a drug-free workplace.