Data Engineer

Recruitment Fraud Alert

We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.

What to know

• Commvault does not conduct interviews by email or text.

• We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day.

• Commvault recruiters may contact prospective candidates through LinkedIn and other professional networking platforms regarding career opportunities. If you are unsure whether a recruiting communication is legitimate, review the profile to ensure they have a badge verifying them as a Commvault employee.

If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com

About Commvault

Commvault (NASDAQ: CVLT) delivers continuous recovery for the AI era. We help organizations stay ready for constant disruption by returning critical data, applications, identities, and AI systems to a clean, trusted state. Our purpose-built recovery solutions span cloud-native and hybrid environments, leveraging AI to enable resilience at enterprise scale.

Data Engineer (Platform Engineering Focus)

The Opportunity

The Platform Engineer builds, automates, and supports the shared cloud platform services that enable reliable data, analytics, and AI delivery.

This hands-on role works with Senior Platform Engineers, Data Engineers, Analytics Engineers, Security, and Architecture teams to provision environments, implement deployment automation, monitor platform health, resolve incidents, and improve the developer experience.

What you’ll do…

Platform Build & Operations

• Provision and configure Databricks, Azure Data Lake, Microsoft Fabric, and supporting cloud resources using approved patterns.

• Maintain workspace, compute, storage, identity, access, secrets, and environment configurations.

• Execute platform upgrades, configuration changes, maintenance activities, and production deployments.

• Support environment readiness for data engineering, analytics, governance, and AI teams.

Automation & CI/CD

• Develop and maintain infrastructure-as-code modules, deployment scripts, and CI/CD pipelines.

• Automate repeatable administrative, monitoring, access, and environment-management tasks.

• Maintain source-control, branching, release, artifact, and environment-promotion processes.

• Contribute to self-service templates and reusable engineering components.

Monitoring, Support & Optimization

• Monitor platform availability, performance, capacity, security events, and job health.

• Respond to incidents and service requests; troubleshoot issues and document root causes and resolutions.

• Maintain operational dashboards, alerts, runbooks, knowledge articles, and support procedures.

• Identify and implement opportunities to improve reliability, performance, and cloud cost efficiency.

Security, Governance & Collaboration

• Apply approved identity, access, networking, logging, classification, and audit controls.

• Support integration with Unity Catalog, Microsoft Purview, and enterprise security services.

• Work with engineering and analytics teams to resolve platform dependencies and remove delivery blockers.

• Participate in design reviews, sprint planning, testing, documentation, and continuous-improvement activities.

Who you are?

• 3+ years of experience in cloud engineering, DevOps, platform operations, data platform support, or a related role.

• Hands-on experience with Microsoft Azure and familiarity with Databricks or a comparable data platform.

• Experience with infrastructure as code, CI/CD pipelines, source control, and deployment automation.

• Working knowledge of cloud networking, identity and access management, storage, compute, monitoring, and security concepts.

• Scripting experience using Python, PowerShell, Bash, or a comparable language.

• Strong troubleshooting, documentation, communication, and collaboration skills.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent practical experience will be considered.

Preferred Qualifications

• Experience with Terraform, Bicep, Azure DevOps, GitHub Actions, Unity Catalog, Microsoft Fabric, or Microsoft Purview.

• Familiarity with lakehouse, Spark, SQL, data pipelines, and AI/ML platform workloads.

• Cloud or Databricks certification.

• Experience working in Agile or product-oriented delivery teams.

#LI-VK