Chief Data Governance Specialist

4 days ago

Ghaziabad, Uttar Pradesh, India beBeeDataGovernance Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Our vision is to empower organizations by unlocking the full potential of their data. As a Data Governance Architect, you will play a pivotal role in designing and implementing cutting-edge data governance solutions.

Job Description

This is an exceptional opportunity for an experienced professional to lead the development of comprehensive data governance frameworks, ensuring seamless integration with business operations. Your key responsibilities will include:

  • Technical leadership across the full life cycle of data governance projects, from requirement gathering and analysis to platform selection, design, and deployment.
  • Collaboration with cross-functional teams, including business consultants, analysts, data scientists, and developers, to deliver innovative data solutions.
  • Developing and maintaining detailed project plans, resource allocation, and timelines to ensure timely completion.
Required Skills and Qualifications

We are seeking a highly skilled professional with:

  • 10+ years of technical experience, preferably with expertise in Python/GenAI.
  • 5+ years of experience in data governance tool implementations, such as Alation, Collibra, Atlan, Purview, Unity Catalog, or others.
  • Hands-on experience with data governance solutions, including data catalog, business glossary, metadata management, data quality, profiling, lineage, and automation.
Benefits

This role offers the opportunity to work with a talented team on high-impact projects, develop your skills and expertise, and contribute to the growth and success of our organization.

Expertise and Qualifications

Some of the key technologies you should be familiar with include Monte Carlo, Anomalo, Atlan, Collibra, Alation, IDQ, IDMC (CDQ & CDGC), Ataccama, Immuta, Unity Catalog, Securiti.ai, and relevant Azure/AWS/GCP components required to build data solutions.

Additionally, you should have hands-on experience with designing and building large cloud-computing infrastructure solutions in Azure/AWS/GCP, data quality, governance, metadata management, and the full life cycle of a data governance solution.

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