Description Creation of Data Governance Architecture considering security, availability, access and accuracy of Data Take full responsibility for Data Quality and Data Accuracy across the platform Accountable for performance quality and alignment of requirements for all requirements Responsible for creating full lineage from Source to Target Data mapping. Responsible for rationalizing the reports through definition and maintenance of reporting strategy and roadmap Responsible for data Organizationelling with optimal performance in Hadoop Ensure that solutions adhere to organizations data principles and guidelines Responsible for solving data related issues and communicating resolutions to concerned teams Develop strategy for data reconciliation with source systems in all the three aspects (Technical Reconciliation, Business Reconciliation and Financial Reconciliation) Creation of Data Governance Architecture considering security, availability, access and accuracy of Data Creation of data masking (dynamic and Static) and test data management strategy. Responsible for defining standards and Best practices for data analysis, Organizationelling and queries.
Responsible for creating data dictionary that is aligned to data assets and business glossary Responsible for understanding end-to-end data flow and identifying data dependencies in support of delivery, release and change management Responsible for governing data access for all data assets Responsible for making sure that all the access is audited, and details is provided to auditors as and when necessary.
Qualifications Should be able to clearly understand the data landscape of organization and across business function and create data governance architecture. Should go beyond usual Business Requirement Document and propose business solutions with technology possibilities. Keep an eye on the developments in industry on Big Data Technology and implement best practices in our environment. Agile thought process to deliver business value to enterprise from Data Platform. Do in-depth requirement analysis and exclusively choose the work platform. Be the bridge between all data consumers internal or external Right data governance architecture Ensure accuracy and quality of data Ensure right access strategy or user roles for the data.
Define right Hadoop Component for each business use case General operational expertise such as good troubleshooting skills, data dictionary, data lineage and other auditing requirements related to Data Platform Hadoop Skillset – Conversant with all Hadoop Components Linux Operating System Hands-on experience on Company Information Governance Catalog (IGC) preferably using Hadoop Knowledge of Data Governance in Hadoop No-SQL data structure Bachelor / Master in Computer Science or similar field. Hands experience in Hadoop Distribution such as Cloudera Hand-on experience in Information Governance tools such as Company Information Governance Catalog. A total of 15 + years of data governance experience and out of which 4+ years of experience with Hadoop based data lake.