Data Governance Strategist

3 hours ago

Gulbarga, Karnataka, India beBeeDataGovernance Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

We are seeking a highly skilled data governance expert to lead our enterprise-wide data strategy, design, and implementation. The ideal candidate will have strong expertise in defining data governance strategies, designing architectures, and implementing tools like Informatica EDC/AXON, Collibra, Alation, and other leading data governance platforms.

Our team is looking for someone with a strong understanding of data quality, consistency, and accessibility across various enterprise platforms and business units. The successful candidate will be responsible for designing and implementing architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and master data management (MDM) across various data platforms.

The ideal candidate will have a bachelor's or master's degree in information systems, computer science, or a related technical field. They should have at least 7 years of experience in data governance architecture and implementation, as well as hands-on experience in design and implementation of architectural patterns for data quality, metadata management, data lineage, data security, and MDM.

The successful candidate will also have strong knowledge of data governance principles and compliance practices, as well as proficiency in SQL, Python/Java for integration and automation. Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop/Spark, etc.) is a plus.

We offer a collaborative and dynamic work environment where you can grow your skills and advance your career. If you are passionate about data governance and want to make a meaningful impact, we encourage you to apply for this exciting opportunity.

  • Design, develop, and maintain enterprise-wide data governance architecture frameworks and metadata models
  • Establish data governance strategies, policies, standards, and procedures for compliance processes
  • Conduct maturity assessments and change management efforts
  • Evaluate and recommend data governance framework and tools to meet enterprise business needs
  • Design and implement architectural patterns for data catalog, data quality, metadata management, data lineage, data security, and MDM

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