Data Management Team Lead

2 days ago

Kolkata, West Bengal, India Elevarae Full time

Excited to stay in the IT software product space and working with a team, building cutting-edge products at the intersection of GenAI and data transformation?

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 their efforts in developing and maintaining their 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 platform' 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 meta data layer leveraging modern, knowledge graph and AI based technologies
  • Lead a team of developers to deliver 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:

  • Bachelor's or master's 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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