Senior Data Architect: Cloud Platform & AI Architecture

Commvault; New Jersey; On-site; USD 170,000 - 230,000; Full time

Job summary

Commvault is seeking a Principal Data Architect to define and drive our enterprise data architecture strategy. This senior, hands-on role leads data modeling, standards, and roadmaps across domains to enable scalable analytics, reporting, and AI/ML use cases.

You will lead cloud data platform decisions (Snowflake, Databricks, Azure), govern end-to-end data flows, and partner with data engineering to build production-grade pipelines while ensuring security, governance, and cost efficiency.

Qualifications

• Senior data architect with enterprise experience.
• Hands-on with modern cloud data platforms and governance.
• Experience designing scalable data models and pipelines.
• Strong collaboration with data engineering and cross-functional teams.

Responsibilities

• Define and maintain the enterprise data architecture, including conceptual, logical, and physical data models across key domains (e.g., sales, finance, product, customer, operations).
• 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.
• Provide senior architectural leadership for Commvault's cloud data platforms, including Snowflake, Databricks, and Azure data services (e.g., Azure Data Lake, Azure SQL, Synapse).
• Define and govern end‑to‑end data flows across source applications, APIs, streaming, and batch ETL/ELT processes, including medallion/lakehouse patterns.
• Design and maintain reference architectures for ingestion, curation, serving, semantic, and consumption layers, ensuring alignment with BI, analytics, and AI/ML needs.
• Work with infrastructure, security, and platform teams to ensure data platforms meet availability, resilience, observability, and security requirements.
• Influence and evaluate technology choices, tools, and vendors related to the data platform and integration ecosystem.
• Promote a unified semantic layer that serves both BI tools and AI systems, ensuring consistent definitions, metrics, and governed access across analytics and AI use cases.
• 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.
• Define and standardize integration patterns for Model Context Protocol (MCP) and similar tool‑based interfaces, enabling AI agents and copilots to interact with enterprise data, APIs, and services in a governed and auditable way.
• Partner with data science, analytics,

Skills

Cloud data architecture

Data governance

Data modeling

ETL/ELT

API data access

Analytics & BI

Tools

Snowflake

Databricks

Azure

Azure Data Lake

Azure Synapse

Microsoft Purview

Job description

Commvault is seeking a Principal Data Architect to define and drive our enterprise data architecture strategy. This senior, hands-on role leads data modeling, standards, and roadmaps across domains to enable scalable analytics, reporting, and AI/ML use cases.

You will lead cloud data platform decisions (Snowflake, Databricks, Azure), govern end-to-end data flows, and partner with data engineering to build production-grade pipelines while ensuring security, governance, and cost efficiency.