Commvault

Commvault

Principal Data Architect

United States · Principal

Sponsorship not specifiedDetected 12 days ago
SQLSnowflakeDatabricksAzureCI/CDMachine LearningSparkdbtData EngineeringData ScienceData VisualizationRAGAgentic AIA/B TestingLeadershipCommunicationMentoring

About the role

  • 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.
  • 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.

Responsibilities

  • Design data models (e.g., dimensional, data vault, 3NF) and integration patterns that support analytical, operational, and self‑service BI use cases.
  • Create and socialize data architecture standards and patterns, including naming conventions, modeling guidelines, and design best practices.
  • Ensure data solutions are designed for scalability, performance, reliability, and cost‑efficiency on the target cloud platforms.
  • Partner with data engineering to convert architecture designs into robust, production‑grade data pipelines and structures.
  • Design and maintain reference architectures for ingestion, curation, serving, semantic, and consumption layers, ensuring alignment with BI, analytics, and AI/ML needs.
  • Collaborate with data governance to embed policies and standards (e.g., data ownership, classification, retention, privacy) directly into platform and model designs.
  • Ensure the architecture supports data quality, lineage, metadata management, and cataloging, leveraging tools such as Microsoft Purview or similar.
  • Define architectural patterns to enable secure, governed access to enterprise data for AI systems, including support for retrieval-augmented generation (RAG), semantic layers, and API-based data access abstractions.
  • Partner with data science, analytics, and product teams to design data architectures that enable AI and advanced analytics, including feature‑ready datasets and governed data products.
  • Define patterns for real‑time and near‑real‑time integrations, event streams, and APIs that support AI/ML use cases and intelligent applications.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Management, or related field; or equivalent practical experience.
  • 10+ years of experience in data engineering, database development, analytics, or related roles, with at least 5+ years focused on data architecture or solution architecture for data platforms.

Nice to have

  • Experience working in or supporting SaaS, B2B software, or enterprise technology organizations.
  • Familiarity with BI/analytics tools such as Power BI, Tableau, or similar, including semantic models and data access patterns.
  • Exposure to data catalog and governance tools (e.g., Microsoft Purview, Collibra, Alation, or similar).
  • Experience with MDM and reference data management across multiple business domains.
  • Background working in Agile or product‑oriented delivery environments.
Apply directly at Commvault →Create a free account for alerts like thisView Commvault immigration profile

This listing is sourced directly from Commvault's careers page and normalized into a canonical job model.