Principal Data Engineer

Commvault

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Recruitment Fraud Alert

Weve learned that scammers are impersonating Commvault team membersincluding HR and leadershipvia 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 doesnotconduct 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

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 companys 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 100000 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 role will design optimize and operationalize cloudnative data pipelines and ensure the availability of accurate governed and highquality 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 youll 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 teams 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 highquality trusted and governed data products.

Advanced Analytics & BI Enablement

  • Design and optimize highly complex highvolume and lowlatency 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 MidLevel 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.

Who you are

  • 10 years of data engineering data architecture or analytics engineering experience.
  • Proven experience as a lead or principal-level engineer designing large-scale distributed data systems.
  • Expert-level proficiency in:
    • SQL performance tuning query optimization
    • Azure Synapse Databricks Spark/Delta Lake
    • ETL/ELT pipelines orchestration frameworks
    • Data modeling OLTP/OLAP dimensional and semantic modeling
    • Cloud architecture patterns and distributed computing
  • Advanced experience with:
  • Azure Synapse
  • Azure Databricks / Spark
  • SSIS / ETL Tools
  • Proven ability to design and build scalable data architectures pipelines and distributed data systems.

Deep experience with:

  • Metadata master data and data governance frameworks
  • Observability tools data quality frameworks lineage systems
  • BI platform enablement (e.g. Power BI)
  • Strong understanding of data governance master data and metadata management frameworks.

Youll love working here because...

  • Continuous professional development product training and career pathing
  • Annual health check-ups Tuition Reimbursement
  • An inclusive company culture an opportunity to join our Community Guilds
  • Personal accident and Term life coverage

#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.

Commvaults 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 For any inquiries not related to an accommodation please reach out to.

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Recruitment Fraud AlertWeve learned that scammers are impersonating Commvault team membersincluding HR and leadershipvia 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 doesnotconduct interviews ...
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