
Chief Data Quality Officer
1 week ago
We are seeking a highly skilled Data Governance Architect with strong expertise in defining and leading enterprise-wide data governance strategies, design, 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 and Qualifications- 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 a must.
- 7 years of minimum 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.
As a Data Governance Architect, you will have the opportunity to work on complex projects, collaborate with cross-functional teams, and develop your skills in data governance and architecture. You will also be part of a dynamic team that values innovation, teamwork, and continuous learning.
OthersThis role requires excellent communication and stakeholder management abilities. The ideal candidate will be able to analyze and define enterprise business KPI's and validate data governance requirements. Additionally, the candidate should be able to collaborate with Data Stewards to define technical specifications for data quality rules, validation checks, and KPI's reporting.
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