Senior Data Governance Specialist

2 days ago

Kolkata, West Bengal, India beBeeDataManagement Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Data Management Team Lead

Excited to work in the IT software product space and collaborate with a team, building innovative products at the intersection of Generative AI and data transformation.

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. This role involves overseeing data architecture and data integration processes across modules, enabling real-time and batch ETL and ELT processes, ensuring data quality, performance, and optimal usage of appropriate storage technologies.

Key Responsibilities:

  • Drive and deliver the design, development, and deployment of data management and storage related modules in our product.
  • Oversee data architecture and data integration processes across modules.
  • Enable real-time and batch ETL and ELT processes, ensuring data quality, performance, and optimal usage of appropriate storage technologies.
  • Ensure the platform's data management and storage modules enable customers to follow their data governance principles and best practices, including authorization, logging, and data security.
  • 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 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.
  • 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 modeling 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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