Principal Data Engineer

Confirmed live in the last 24 hours

Commvault

Bangalore, India

On-site

Posted April 23, 2026

Job Description

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.

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

About Commvault

Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.

The Opportunity:

The Principal Data Engineer is a Serve as a senior technical leader within the Business Intelligence & Analytics organization. Building on the scope of the Senior Data Engineer, this role is responsible for contributing to and helping execute the data platform vision.This role will design, optimize, and operationalize cloud‑native data pipelines, and ensure the availability of accurate, governed, and high‑quality data at scale. This role will also partner with future Data Architecture leadership to evolve long-term data architecture strategy. The Principal Data Engineer will mentor junior team members, guide technical strategy, and collaborate closely with business and technology leaders to deliver robust analytic and operational data capabilities.

What you’ll do…

Data Architecture & Engineering

Architect, develop, and optimize complex data pipelines, data models, and ELT/ETL workflows across Synapse, Databricks, SQL Server, and cloud-native services.

Lead large-scale data integration and modernization projects, expanding on the team’s responsibilities for analyzing requirements, creating specifications, and managing delivery schedules.

Define and enforce best practices for data engineering, performance optimization, data quality, reliability, and observability.

Cross-Functional Collaboration

Advise senior leaders and product owners on data strategy, platform capabilities, and architectural tradeoffs.

Partner with Security, Infrastructure, and business teams to enable high‑quality, trusted, and governed data products.

Advanced Analytics & BI Enablement

Design and optimize highly complex, high‑volume, and low‑latency data pipelines supporting analytics, operational workloads, and ML/AI use cases.

Oversee implementation of robust data quality, lineage, cataloging, and metadata capabilities in partnership with Data Governance.

Cloud, Platform & Tooling Expertise

Serve as the technical authority on Azure Synapse, Databricks, Spark, SQL Server, and cloud-native data services.

Lead platform enhancements for performance, cost optimization, reliability, and global scale.

Mentorship & Technical Stewardship

Coach and mentor Senior and Mid‑Level Data Engineers, elevating engineering capability across the organization.
Lead technical design reviews, provide architectural guidance, and cultivate a culture of engineering excellence.
Champion innovation through research, POCs, and evaluation of emerging technologies.&l

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