ApplySarthiSenior Data Engineer
Commvault
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What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Azure (13%), Stakeholder management (13%) — counted across their open postings here.
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Commvault has 64 open roles listed here.
- Commercial Account Executive (Germany - Zip Codes 4 & 5)
- Business Development Representative
- Commercial Account Executive
- Channel Sales Engineer (France)
- Technical Account Manager (Spanish/English Speaker)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Commvault.
Questions you are likely to be asked
- Why do you want to join Commvault?
- What is your experience with Azure? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Senior Data Engineer at Commvault interview free →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
- Define and implement monitoring, alerting, logging, capacity, performance, availability, and recovery standards.
- Lead troubleshooting and root-cause analysis for complex platform incidents and recurring reliability issues.
- Implement operational dashboards, service-level indicators, runbooks, and on-call support patterns.
- Analyze platform usage and cost drivers; implement guardrails, tagging, budgets, and optimization recommendations.
Technical Leadership & Governance
- Lead platform design reviews and provide technical guidance to Platform Engineers and delivery teams.
- Develop engineering standards, operating procedures, support models, and platform documentation.
- Embed data governance, lineage, classification, access control, and audit requirements into platform capabilities.
- Evaluate platform features and emerging technologies, recommending pragmatic adoption paths aligned with business outcomes.
Who you are?
- 8+ years of experience in cloud platform engineering, DevOps, site reliability engineering, data platform engineering, or related roles.
- Deep hands-on experience with Databricks and Microsoft Azure services, including networking, identity, storage, compute, and security.
- Strong experience with infrastructure as code such as Terraform or Bicep and CI/CD platforms such as Azure DevOps or GitHub Actions.
- Experience designing production-grade observability, incident response, backup, recovery, and operational support capabilities.
- Strong scripting and automation skills using Python, PowerShell, Bash, or comparable languages.
- Working knowledge of lakehouse, data engineering, analytics, and AI workload patterns.
- Proven ability to lead complex technical initiatives, mentor engineers, and influence standards without direct authority.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent practical experience will be considered.
Preferred Qualifications
- Experience with Unity Catalog, Microsoft Purview, Microsoft Fabric, MLflow, or AI platform services.
- Experience with policy-as-code, FinOps, container platforms, private networking, and enterprise identity integration.
- Cloud or Databricks certifications.
- Experience supporting globally distributed, business-critical data platforms.
#LI-VK
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.
Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com.
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Listed on greenhouse · posted 2026-10-26. ApplySarthi collects openings and links to application pages; the role is advertised by Commvault, not by us.