Senior Data Engineer

About the role

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.

Senior Data Engineer (Platform Engineering focus)

The Opportunity

The Senior Platform Engineer designs, builds, automates, and operates the shared data and AI platform capabilities used by engineering, analytics, governance, and AI teams.

This senior hands-on role establishes reusable platform patterns across Databricks, Microsoft Azure, Microsoft Fabric, CI/CD, observability, security, and cost management. The role also provides technical leadership for platform reliability, operational maturity, and developer enablement.

What you’ll do…

Platform Architecture & Engineering

- Design and implement secure, scalable platform services for Databricks, Azure Data Lake, Microsoft Fabric, and supporting cloud services.

- Create reusable environment patterns for development, test, and production workloads.

- Implement workspace, network, identity, storage, compute, catalog, policy, and secrets-management configurations.

- Partner with Architecture and Security to translate enterprise standards into practical platform controls and reference implementations.

Automation, DevOps & Developer Experience

- Develop infrastructure-as-code modules, deployment pipelines, automated configuration, and policy-as-code controls.

- Establish CI/CD patterns for data pipelines, notebooks, libraries, semantic assets, and AI workloads.

- Build self-service templates and paved-road capabilities that improve delivery consistency and reduce manual provisioning.

- Maintain source-control, release, artifact, environment-promotion, and rollback practices.

Reliability, Observability & Cost Management