Job purpose

Design and implement scalable technical solutions for data classification and metadata management, leveraging automation and AI-driven tools to ensure accurate, consistent, and efficient classification across structured and unstructured data environments.

Key responsibilities

- Design and implement technical metadata schemas and classification frameworks to support structured and unstructured data governance.
- Configure and manage classification tools such as Microsoft Purview, including sensitivity labels, auto-labelling, and scanning capabilities.
- Develop and optimize rule-based and AI-driven classification models using Lightbeam AI.
- Implement data quality checks to ensure completeness, consistency, and accuracy of metadata and classification outputs.
- Enable integration of classification outputs with enterprise data catalogue and downstream systems.
- Troubleshoot and continuously improve classification logic and system performance.

Key competencies
- Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems,



Computer Science or a related field
- Demonstrates solid technical expertise in data engineering, metadata management, and classification frameworks.
- Possesses hands-on experience with Microsoft Purview, Lightbeam AI, and related data governance technologies.
- Exhibits strong problem-solving skills with the ability to debug and optimize classification models.
- Shows proficiency in scripting or automation tools to support large-scale data processing.
- Maintains a detail-oriented approach with a focus on accuracy and scalability.
- Analytical problem-solving mindset with the ability to break down complex issues into actionable steps.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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