Mastering Enterprise Data Governance

21 hours ago

Bareilly, Uttar Pradesh, India beBeeDataGovernance Full time ₹ 2,10,00,000 - ₹ 2,54,12,500
Job Title: Data Governance Architect

We are seeking a highly skilled professional with expertise in defining and leading enterprise-wide data governance strategies, designing governance architecture and experience in tools implementation like Informatica EDC/AXON, Collibra, Alation, MHUB and other leading Data Governance tool platforms. The ideal candidate will lead data quality, consistency, and accessibility across various Enterprise platforms and business units.

Required Skills:

  • Bachelor's/master's degree in information systems, Computer Science or a related technical field.
  • Strong knowledge of data governance, architecture techniques and methodologies and experience in data governance initiatives is must.
  • Minimum 7 years of experience in data governance architecture and implementation of Data Governance across business enterprise.
  • Hands-on experience in design and implement architectural patterns for data quality, metadata management, data lineage, data security, and master data management.
  • Strong hands-on expertise in Collibra (workflows, APIs, metadata integration, policy automation).
  • Experience with ETL/ELT pipelines, data lineage capture, and data integration tools.
  • Familiarity with data modeling (conceptual, logical, physical).
  • Proficiency in SQL, Python/Java for integration and automation.
  • Experience with SQL, back-end scripting and API's.
  • Understanding of data governance principles and compliance practices.
  • Proficiency in working with cloud platforms (AWS, Azure, or GCP).
  • Knowledge of big data technologies (Hadoop/Spark, etc.) and data visualization and BI tools.

Responsibilities:

  • Design, develop, and maintain enterprise-wide data governance architecture frameworks and meta data 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 master data management (MDM) across various data platforms (e.g., data lakes, data warehouses, operational databases).

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