---
title: 'Principal Data Analytics Engineer at Commvault'
canonical: 'https://feeny.ai/job/principal-data-analytics-engineer-commvault-bengaluru-ymq8tsyhhnr7'
type: 'job'
last_seen: '2026-10-17'
---

# Principal Data Analytics Engineer at Commvault

- **Company:** Commvault
- **Location:** Bengaluru, India
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-17
- **Apply:** https://job-boards.greenhouse.io/commvault/jobs/5444436008

## 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.
- 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) 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 AI & Semantic Engineer is the senior technical authority responsible for connecting governed enterprise data and business meaning with scalable analytics and artificial intelligence solutions. This role defines the architecture, standards, and engineering patterns for semantic models, governed metrics, AI-ready data products, machine learning operations, and generative AI consumption.

Operating at the intersection of Analytics, Data Engineering, Data Science, Governance, and AI Platform Engineering, this role ensures that enterprise data, metrics, models, and knowledge assets can be reliably discovered, understood, deployed, monitored, and reused. The Principal AI & Semantic Engineer provides hands-on technical leadership, guides complex implementations, and mentors engineers and analysts while remaining an individual contributor.

## What you’ll do…

Semantic Architecture & Governed Metrics

- Define enterprise standards and reference patterns for semantic models, dimensional models, business metrics, KPIs, hierarchies, calculations, and reusable analytical assets.
- Architect semantic consumption patterns across Microsoft Fabric, Power BI, Databricks Gold-layer data, and approved AI applications.
- Partner with business domain owners, analysts, and Data Governance to translate business concepts into consistent, governed definitions and analytical models.
- Lead design reviews for semantic models and analytical data products, balancing usability, reuse, performance, security, and maintainability.
- Ensure semantic assets are documented with appropriate metadata, lineage, ownership, and change controls.

AI Engineering & MLOps

- Define engineering standards for deploying, versioning, testing, monitoring, and governing machine learning and generative AI solutions.
- Architect reusable MLand LLM patterns, including CI/CD, model and prompt versioning, experiment tracking, evaluation, observability, rollback, and production support.
- Guide implementation of feature pipelines, model registries, inference workflows, retrieval pipelines, vectorized knowledge assets, and AI evaluation frameworks.
- Partner with Data Scientists and AI product teams to move prototypes into secure, scalable, and supportable production services.
- Implement technical controls for traceability, reproducibility, model performance, data drift, responsible AI requirements, and operational reliability.

AI-Ready Data & Knowledge Enablement

- Design curated, governed data products and knowledge assets for predictive analytics, generative AI, copilots, agents, and retrieval-augmented generation.
- Define how structured data, enterprise metrics, metadata, documents, embeddings, and retrieval indexes are linked and consumed.
- Ensure AI applications use approved business definitions, metrics, access policies, and authoritative data sources.
- Collaborate with Architecture and Governance teams on ontology, glossary, metadata, lineage, classification, and policy integration.

Technical Leadership & Collaboration

- Serve as the technical escalation point for complex semantic, analytics, MLOps, and AI engineering decisions.
- Create reference implementations, reusable frameworks, coding standards, and engineering playbooks.
- Mentor Senior Analytics & AI Engineers, Semantic Engineers, Data Analysts, and Data Scientists.
- Influence cross-functional roadmaps and communicate architecture decisions, trade-offs, risks, and business outcomes to technical and executive audiences.

Evaluate emerging technologies and recommend pragmatic adoption paths aligned with enterprise architecture and governance standards.

Who you are?

- 10+ years of experience across analytics engineering, business intelligence, semantic modeling, data engineering, machine learning engineering, MLOps, or related disciplines.
- Demonstrated experience serving as a principal-level technical leader or architect for enterprise data, analytics, or AI solutions.
- Deep expertise in SQL, dimensional modeling, semantic model design, analytical performance optimization, and governed metric implementation.
- Hands-on experience with Microsoft Power BI and/or Microsoft Fabric semantic models, including DAX and enterprise-scale model design.
- Hands-on experience with Databricks or a comparable cloud data and AI platform, including production data pipelines and model lifecycle capabilities.
- Experience designing or operating CI/CD, experiment tracking, model registries, monitoring, evaluation, and observability for ML or generative AI solutions.
- Working knowledge of generative AI patterns such as embeddings, vector retrieval, RAG, prompt and model evaluation, and agent-based solutions.
- Strong understanding of metadata, lineage, data quality, access control, business glossary, and responsible AI principles.
- Proven ability to mentor technical professionals, lead architecture reviews, and influence stakeholders without direct authority.
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field; equivalent practical experience will be considered.

## Preferred Qualifications

- Experience with Microsoft Purview, Unity Catalog, MLflow, Azure DevOps or GitHub Actions, and cloud observability tooling.
- Experience supporting enterprise Finance, GTM, Product, Customer, or Workforce analytics domains.
- Experience establishing reusable semantic or AI platform capabilities in a federated operating model.

## #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.

[Commvault's Privacy Policy](https://www.commvault.com/privacy-policy)

## About Commvault

## Company Overview
- **One-liner**: Commvault provides a cloud-native platform that unifies data security, identity resilience, and cyber recovery to help enterprises protect and recover their data across any environment.
- **Entity Type**: Public (NASDAQ: CVLT)
- **Headquarters**: Tinton Falls, New Jersey, USA
- **Founded**: 1996 (spun off from Bell Labs)
- **Founders**: Not publicly available as a single founder; the company originated from a technology developed at Bell Labs.

## Core Business
- **Primary industry/industries**: Enterprise data protection, cybersecurity, backup and disaster recovery, cloud resilience.
- **Target customers**: Large enterprises and mid-market organizations (B2B); IT, security, and infrastructure teams.
- **Mission or purpose statement**: "To redefine what it means to be resilient" by enabling organizations to protect, govern, and recover their data across clouds, regions, and platforms, turning resilience from a reactive task into a proactive discipline [commvault.com](https://www.commvault.com/about-us).

## Products & Services
- **Commvault Cloud**: A unified, cloud-native platform that delivers data security, identity resilience, and cyber recovery at enterprise scale. It provides a single view to secure, govern, and recover all data wherever it lives. [commvault.com](https://www.commvault.com/)
- **Commvault Cloud Unity**: The latest iteration of the platform, integrating data security, identity resilience, and cyber recovery into one intelligent experience. [commvault.com](https://www.commvault.com/)
- **Data Security**: Solutions for discovering, protecting, and governing access to data in real-time. [commvault.com](https://www.commvault.com/cyber-resilience)
- **Identity Resilience**: Protects identity systems (e.g., Active Directory, Entra ID) and restores clean, trusted access at scale. [commvault.com](https://www.commvault.com/cyber-resilience)
- **Cyber Recovery**: Enables fast, clean, and complete recovery of data and systems after a cyberattack or disaster. [commvault.com](https://www.commvault.com/cyber-resilience)
- **ResilienceOps (ResOps)**: A framework for operationalizing resilience, making protection and recovery continuous, intelligent, and automated. [commvault.com](https://www.commvault.com/about-us)

## Market Standing
- **Valuation/Market Cap**: As of July 2026, Commvault’s market capitalization is approximately $9.6 billion (based on recent public trading data).
- **Key Metric**: Annual Revenue - Commvault reported revenue of approximately $926 million for the fiscal year ending March 2025.
- **Notable Investors/Partners**: As a public company, major institutional shareholders include Vanguard, BlackRock, and other asset managers. Key technology partners include AWS, Microsoft Azure, Google Cloud, and leading identity providers.
- **Growth Signals**:
    - Named a Leader in the **Gartner Magic Quadrant for Backup and Data Protection Platforms** for the 14th time, the only vendor to achieve this consistently [commvault.com](https://www.commvault.com/about-us).
    - Over 1,600 lifetime patents driving innovation [commvault.com](https://www.commvault.com/about-us).
    - Strong focus on the emerging "cyber resilience" market, integrating identity and data recovery.
    - Consistent revenue growth and expansion into cloud-native SaaS offerings.

## Competitive Advantages
- **Pioneering "ResilienceOps"**: Commvault has defined and is operationalizing the concept of ResilienceOps, a framework that integrates data security, identity, and recovery into a single automated discipline, setting it apart from point solution vendors.
- **Unified Platform**: Unlike competitors that offer separate tools for backup, identity protection, and security, Commvault provides one cloud-native platform that unifies these functions, reducing complexity for enterprise customers.
- **14-Time Gartner Leader**: The longest-standing streak as a Leader in the Gartner Magic Quadrant for its primary market, signaling consistent execution and innovation.
- **Patented Technology**: A portfolio of over 1,600 lifetime patents provides a strong technological moat.
- **Hybrid Cloud Expertise**: Deep capabilities for protecting data across on-premises, hybrid, and multi-cloud environments, a critical need for large enterprises.

## Strategic Focus
- **AI-Readiness**: Actively positioning the platform to help customers safely leverage AI by protecting the data that powers AI models and ensuring clean, trusted data for AI initiatives. The company's tagline includes "Only Commvault makes you ready for AI." [commvault.com](https://www.commvault.com/).
- **Deepening Cloud Integration**: Continuing to invest in its cloud-native platform and native integrations with major hyperscalers (AWS, Azure, GCP).
- **Expanding the Identity Resilience Market**: Driving adoption of its identity protection solutions as a key pillar of its unified resilience platform.
- **Growing SaaS Revenue**: Transitioning more customers to its cloud-based SaaS offerings for predictable, recurring revenue.

## Why Work Here
- **Culture of Innovation**: Commvault emphasizes innovation, with a "dream big, work hard" ethos. Employees are encouraged to solve the hardest problems in the industry [commvault.com](https://www.commvault.com/careers).
- **Mission-Driven Work**: The company’s work is directly tied to protecting critical data and operations for the world's leading organizations, offering a sense of purpose ("What you do matters") [commvault.com](https://www.commvault.com/careers).
- **Award-Winning Culture**: The company has been recognized for creating a culture of care, support, and innovation, with a strong focus on diversity and inclusion ("We speak human and celebrate diversity") [commvault.com](https://www.commvault.com/careers).
- **Flexibility**: The company supports hybrid and remote work models in many roles, offering flexibility to help employees balance personal and professional goals [commvault.com](https://www.commvault.com/careers).
- **Global Impact**: With over 2,800 employees worldwide and customers across the globe, Vaulters have a chance to work on globally significant problems and with diverse teams [commvault.com](https://www.commvault.com/about-us).
- **Core Values**: The company is guided by four core values: **We Connect** (unite people), **We Inspire** (innovate and disrupt), **We Care** (speak human, celebrate diversity), and **We Deliver** (keep promises) [commvault.com](https://www.commvault.com/about-us/our-values).

## Sources
1. [Commvault Company Overview](https://www.commvault.com/about-us)
2. [Commvault Careers Page](https://www.commvault.com/careers)
3. [Commvault Job Listings](https://www.commvault.com/careers/jobs)
4. [Commvault Values and Culture](https://www.commvault.com/about-us/our-values)
5. [Commvault Cyber Resilience Solutions](https://www.commvault.com/cyber-resilience)
6. [Commvault Homepage](https://www.commvault.com/)
7. [Google Finance - Commvault Market Cap (for reference)](https://www.google.com/finance/quote/CVLT:NASDAQ)

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