Senior Data Base Administrator

Mach7 TechnologiesBurlington, VT
Hybrid

About The Position

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 and 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.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
  • 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
  • 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
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