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Data Management Lead

elevarae

10 - 15 years

Kolkata

Posted: 21/02/2026

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Job Description

We're hiring: Data Management Lead


Our client is seeking a Data Management Lead to join their R&D team in Kolkata. The ideal candidate will have 10-15 years of experience in data management and will lead efforts in developing and maintaining data management-related modules.


Key Responsibilities

  • Drive and deliver the design, development, and deployment of our data management and storage-related modules in their product.
  • Oversee data architecture and data integration processes across modules.
  • Enablement of real-time and batch ETL and ELT processes, ensuring data quality, performance, and optimal usage of appropriate storage technologies.
  • Ensure the platforms data management and storage modules enable our customers to follow their data governance principles and best practices, including authorization, logging, and data security.
  • Ensure the platform has consistent and secure data access controls, data masking, and encryption processes.
  • Establish and develop/integrate a central technical and business metadata layer leveraging modern, knowledge graph, and AI-based technologies.
  • Lead a team of developers to deliver the above capabilities and features in a matrix environment.
  • Partner with product management to ensure alignment with market and customer trends.
  • Partner with QA to deliver industry-standard software quality.


Qualifications

  • Bachelors or masters degree in computer science or a related field (BTech preferred).
  • 10-15 years of experience in data management, with at least 10 years in a similar role.
  • Proven experience leading teams and projects in data management.
  • Strong proficiency in big data technologies (e.g., Spark, Kafka), SQL, and data warehousing solutions.
  • Experience with ETL and ELT tools and processes.
  • Proficiency in data modelling and data warehouse/data lake/data Lakehouse concepts.
  • Knowledge and experience of data quality concepts and metadata management.
  • Understanding of data governance principles and best practices, like GDPR and HIPAA.
  • Good understanding of product lifecycle and roadmap planning.
  • Experience with large product or services companies is preferred.

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