· Understand business objectives and provide solutions that efficiently meet the objectives in a timely manner with a focus on data integrity and quality. · Ensure that all the products and data within the platform are architected and integrated as a cohesive unit, ensure proper documentation, source control and change management are adhered to. · Build and maintain metadata repositories, data dictionaries, data lineage tracking and data quality score cards. · Participate in defining and constructing the overall data architecture for enterprise wide data governance. · Work with numerous teams within the organization to architect a data centric approach to Business Processes and Data Governance. · Participate in supporting system administrators to ensure that the data governance Platform is operating efficiently. Improve platform performance by conducting tests, troubleshooting and query optimization. · Ability and experience designing data solutions with data flexibility, ease of data reuse, data integrity, data security, and data quality built in. · Provide technical leadership to other members of the development team and project managers. · Participate in product evaluations, RFP’s, POC’s and business decisions to ensure fit and scale into the platform and the organization. · Lead efforts for data modelling – provide and support technology that allows data analysts to meet the organization’s reporting needs |
Essential Skills |
· Strong solution architecture and data modelling skills · Experience producing and rapidly delivering POCs · Experience of cloud infrastructure like Amazon Web Services (AWS) with services and products like EC2, S3, ECS, Docker or Azure or Google Cloud · Unix environment and Bash scripting · Understanding of security best practices for Cloud · Experience with SQL (Postgres),NoSQL and/or Big Data (Big Query) · Strong Data Architecture experience · Translate business requirements into target state conceptual models. · Perform data analysis and data profiling on source data and document metadata for target data models. · Knowledge of Data Warehousing / Data Lake / Business Intelligence strategies and architecture · Strong Data Governance experience |
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