DataOps / Platform Engineer

University of Vermont Medical Center; South Burlington (VT); On-site; USD 120,000 - 160,000; Full time

Job summary

University of Vermont Medical Center is seeking an experienced senior data platform engineer to build, automate, secure, and operate the infrastructure behind our enterprise data platform. This senior individual‑contributor will connect data engineering, cloud infrastructure, and production operations to deploy data products safely, monitor effectively, recover reliably, and support over time.

You will own the day‑to‑day operability of data‑platform services, working with IT, cybersecurity,

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required.
• 4+ years of experience in data platform operations, DataOps, or cloud infrastructure roles.
• Experience with Microsoft Fabric, Azure infrastructure, or equivalent cloud data platforms.
• Experience designing and managing backup, archiving, and disaster recovery processes.
• Familiarity with job scheduling, monitoring, and alerting tools.
• Experience working in agile product delivery preferred.

Responsibilities

• Own the engineering and day-to-day operability of assigned data‑platform services.
• Collaborate with data engineers, IT, cybersecurity, architecture, analytics, and partners.
• Modernize the platform while maintaining continuity for existing data delivery.
• Translate architecture into working infrastructure, repeatable deployments, and operating practices.
• This role emphasizes building and operating environments, automation, security controls, and recovery capabilities.

Skills

Cloud infrastructure

DataOps

Monitoring

Automation

Security controls

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Databricks

Snowflake

Microsoft Fabric

Azure

Job description

Job Summary

UVM Health is seeking an experienced, hands‑on engineer to build, automate, secure, and operate the infrastructure and delivery capabilities behind our enterprise data platform. This senior individual‑contributor role connects data engineering, cloud infrastructure, and production operations so that data products can be deployed safely, monitored effectively, recovered reliably, and supported over time.

Required platform proficiencies include at least 5 years of hands‑on experience in each of AWS, Databricks, and Snowflake, plus at least 5 years of Microsoft data‑platform engineering experience across Microsoft Fabric and related technologies, including demonstrated hands‑on Fabric proficiency. Experience with multiple platforms may overlap within the same employment period; the platform minimums are not additive years beyond the overall experience requirement.

You will own the engineering and day‑to‑day operability of assigned data‑platform services, working closely with data engineers, enterprise IT, cybersecurity, architecture, analytics teams, and implementation partners. You will help modernize the platform while maintaining continuity for existing data delivery, translating architecture into working infrastructure, repeatable deployments, effective controls, and documented operating practices.

This is not primarily a reporting, dashboard development, or ETL development position. Success requires direct experience building and operating the environments, automation, security controls, and recovery capabilities that production data engineering depends on.

Education

• * Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field required.

Experience

• * 4+ years of experience in data platform operations, DataOps, or cloud infrastructure roles.
• * Experience with Microsoft Fabric, Azure infrastructure, or equivalent cloud data platforms.
• * Experience designing and managing backup, archiving, and disaster recovery processes.
• * Familiarity with job scheduling, monitoring, and alerting tools.
• * Experience working in agile product delivery preferred.