
Data Governance Professional
3 days ago
We are seeking a highly skilled professional to lead our organization's data governance strategy, overseeing the design and implementation of enterprise-wide data governance frameworks, meta-data models, and data quality management initiatives.
The ideal candidate will have expertise in defining and leading data governance strategies, policies, standards, and procedures for compliance processes, conducting maturity assessments and change management efforts, evaluating and recommending data governance framework and tools to meet business needs, and creating and managing data dictionaries, metadata repositories, and data catalogs.
A successful candidate will possess a bachelor's/master's degree in information systems, computer science, or a related technical field, with minimum 7 years of experience in data governance architecture and implementation across various business enterprises. They should also have hands-on experience in designing and implementing architectural patterns for data quality, metadata management, data lineage, data security, and master data management.
Additionally, they should have 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, and understanding of data governance principles and compliance practices.
The successful candidate will be responsible for analyzing and defining enterprise business KPIs and validating data governance requirements, collaborating with data stewards to define technical specifications for data quality rules, validation checks, and KPIs reporting, and working with cross-functional teams to understand business requirements and translate them into technical specifications.
Key Skills:
- Data Governance Architecture
- Collibra
- ETL/ELT Pipelines
- Data Lineage Capture
- Data Integration Tools
- SQL
- Python/Java
- Data Modeling
- Data Quality Management
- Data Security
- Master Data Management
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