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MetaBank Enterprise Data Platform Architect in Sioux Falls, South Dakota

DescriptionPrincipal ResponsibilitiesResponsible for architectural effectiveness of Data related initiatives within the organizationResponsible for operationalizing and facilitating programs or COE for Data Platform Governance, multiple End-user platform Governance (Descriptive, Diagnostic, Predictive), Data Quality, Data Security, Data Platform usage standards and patterns.Align enterprise data platform architecture with our business and technology strategy and roadmaps and communicate to business and technical partners across multiple levels within the organizationDefine and establish a technical strategy, standards, and guidelines in the data platform architecture domain in collaboration with other architects.Define conceptual data platform architecture diagrams in support of large, complex and cross capability-area initiativesDefine and implement data platform architecture principles, standards, and patterns using established Enterprise Architecture governance processes and frameworksIdentify and lead selection and implementation of data platforms in support of Modern Data Architecture and multiple end use cases.Define Modern Data Architecture leveraging public cloud platforms such as AWS / AZURE /GCP along with Big Data, Micro Services, Advanced Analytics lifecycle Management capabilitiesCollaborate, educate, and mentor architects and technical leaders across the firm on modern data architecture practicesCollaborate with business and IT partners to define transitional and target state dataExperience15+ years of varied experience implementing all aspects of Data Management - Data / Big Data, Data Quality, Data Modeling, Data Governance, Master Data Management, Metadata Management and Data Security10+ years of complex enterprise experience leading distributed data platform architecture efforts with subject matter expertise in varying technology and business disciplines10+ years architecting scalable, secure and highly available technical solutions6+ years of practical experience in strategizing and implementing Data platforms leveraging Hadoop technology both on-prem and on cloud with excellent understanding of technologies like Spark, Hive, Presto, Map Reduce, AWS Sagemaker, SAS, R, Python, MatLab, Tableau, SSRS, Cognos, MicroStrategy, MongoDB, SQL Server, Oracle DB, Elastic Search, ThouhtSpot, Collibra, Alteryx technologies6+ years of experience in strategizing and implementing cloud data strategies leveraging technologies such as Snowflake, AWS , AZURE, Google, IBM and DataBricks.5+ years of banking or financial services and products domain experience. We will consider experiences in similar or comparable domains as well.2+ years of data architecture experience in support of diagnostic, predictive or prescriptive analyticsPrior experience transitioning from traditional data platforms and approaches to modern data platforms and approaches preferredPrior experience implementing an enterprise data platform preferredPrior experience with advanced analytics, predictive model building experience preferredPrior experience designing and/or optimizing processes to ensure operational excellenceMultiple successes driving data architecture in an agile/scrum environmentExperience successfully planning, influencing, and leading architecture initiatives across IT and business organizations and teamsEnterprise-level awareness of the business and data domains in relation to core business Processes, capabilities, and enabling technology platformsPossess good understanding and know-how of current and near-future data ingestion, quality, governance, cataloging, platforms, master data, metadata, analytics and cloud-based platforms and technologiesPossess good understanding of current and Modern Data Architecture and technology related trendsUnderstands strengthens and weakness of various data architectural patterns and their applicationsKnowledge on data platforms and use cases for the financial and banking services industry a plusEducation

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