Data Warehouse Architect

Self-Service Data: They create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. Machine Learning: They build machine-learning solutions that support the most complex decision support systems. Roles & Responsibilities Data Warehouse Architect (Cloud environment): -Utilize data flow diagrams, source-target mappings, task descriptions, data mapping, identification of decision points/criteria, workflow analysis and determination of process interdependencies. -Plan, develop, improve, and maintain complex components of the Logical / Physical Enterprise Data Warehouse and related Models. -Establish, Maintain and Adhere to Enterprise Data Modeling and Data Integration Standards. -Develop and own enterprise data models, ensuring designs are current, correct, and comply to PCI and GDPR protocols. -Lead the technical architecture and design for a new cloud base Data platforms. -Build

new and innovative solutions that can help solve business and technical challenges. -Provide architecture and technology leadership across platform in Big Data and Cloud Data technologies. -Help to transition current transactional Data infrastructure to a high performance, scalable analytics cloud platform (AWS Redshift). -Design and develop data warehouse architecture roadmap and document standards and procedures for the definition of reference architectures. Qualifications Data Warehouse Architect (Cloud environment): -5+ years as an experienced as a Data Modeler, Data Architect, or Business Systems Analyst. -3+ years database application development with knowledge of Kimball and/or Inmon or other professional software engineering best practices. -3+ years minimum of demonstrable experience in a technical leadership role. -Hands-on experience designing and implementing large-scale, real-time, event-driven enterprise Operational Da...