Senior Data Base Administrator

Location: Remote or Hybrid in Burlington, VT
About the Role

We are seeking a Senior Database Administrator (DBA) to take ownership of performance, reliability, and evolution of mission-critical healthcare data platforms.

This is not a traditional DBA role. You will operate at the intersection of customer environments and product engineering, spending approximately:

- 60% working directly with healthcare customers

- 40% partnering with R&D and engineering teams

You will work across SQL Server and PostgreSQL environments deployed in hybrid architectures (on-prem + cloud), ensuring healthcare providers have fast, reliable, and secure access to critical patient data.

An AI-first mindset is required—you will be expected to leverage AI tools to automate operations, accelerate troubleshooting, and improve system intelligence.

What You’ll Do – Customer-Facing (≈60%)

Act as a trusted technical advisor to customers on database performance, architecture, and reliability

Troubleshoot and resolve production issues in high-pressure healthcare environments

Optimize systems supporting clinical imaging and patient data workflows

Guide customers through best practices for hybrid database deployments

Support upgrades, migrations, and environment stabilization efforts

What You’ll Do – Engineering & Platform (≈40%)

Partner with R&D to improve database architecture, scalability, and observability

Contribute to modernization initiatives, including PostgreSQL adoption and cloud optimization

Build automation for monitoring, alerting, backup, and recovery workflows

Influence product design by bringing real-world customer challenges into engineering decisions

Required Qualifications

5+ years of hands-on DBA experience in production environments

Strong expertise in Microsoft SQL Server and PostgreSQL

Proven experience managing hybrid environments (on-prem + cloud)

Experience in customer-facing or production support roles

Deep knowledge of performance tuning, high availability/disaster recovery, and backup/recovery strategies

Ability to operate effectively in 24/7, mission-critical environments

AI-First Expectations

Proactively use AI tools to accelerate root cause analysis

Automate repetitive operational tasks

Improve system monitoring and predictive insights

Continuously replace manual DBA workflows with intelligent automation

Contribute to building an AI-driven operations model

Preferred Qualifications

Experience in healthcare IT environments

Familiarity with DICOM, HL7, or FHIR

Experience with clinical imaging systems (VNA, PACS)

Experience with large-scale data systems (TB-scale and beyond)

Exposure to cloud-native architectures and containerization/Kubernetes

Experience with database migration and modernization initiatives