Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Full-time — employment source
Employment type Full-time
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What you’ll work on

You'll collaborate closely with engineering leadership while leveraging AI-driven approaches to optimize workflows and scale infrastructure efficiently.

From the employer’s posting

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:

What you’ll bring

All qualifications

Preferred experience

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
Communication: Atlassian Jira and Slack

Qualification wording

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

Communication: Atlassian Jira and Slack

Tools in this posting

Python
SQL
AWS
Datadog
Fivetran
PostgreSQL
Snowflake
Terraform
Power BI
SQL Server

Source

- 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

- 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

- Hosting & Administration: AWS RDS and Aurora - Database Systems: PostgreSQL and MS SQL Server - Languages: SQL, Python, and Shell Scripting

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:

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

- 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

- Build & Deployment: GitHub Actions, Terraform, Liquibase, and Jenkins - Analytics & Logging: DataDog and Power BI - Communication: Atlassian Jira and Slack

- 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

- Data Warehouses & Integration: Snowflake, FiveTran, Celigo, and Boomi - Build & Deployment: GitHub Actions, Terraform, Liquibase, and Jenkins - Analytics & Logging: DataDog and Power BI

Benefits in the posting

Full benefits wording

For Your Growth & Career:
Annual employee development program stipend of $2,000 for each employee
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)
For Your Family & Life:
Parental Leave Benefits
Fertility/Adoption Assistance
Annual tutoring stipend for your children

From the employer’s posting.

Job description

View original posting ↗

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 8,700 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
Demonstrated track record of technical mentorship, team leadership, and cross-functional knowledge sharing

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.

Employment type

Full-time

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Source & posting history

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Pay

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Location & working pattern

Atlanta, GA

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Open source at jobs.lever.co ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 30, 2026
Recorded sightings: 10
Last seen by us: Oct 8, 2026
Employer says posted: Jul 29, 2026

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Sr. Database Administrator