Data Management Team Lead

1 day ago

New Delhi, 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 qualityQualifications:- 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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