Principal Data Engineer

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 [email protected]

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.
  
  

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.
  
  

You’ll 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
  
  

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 [email protected] For any inquiries not related to an accommodation please reach out to [email protected].

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