![]() ![]() In-depth knowledge of a wide range of established and emerging data technologies.Ability to reverse engineer existing data flows and source-to-target mappings.Experience consuming/exposing data in various ways, including APIs, BI Tools, SQL.Experience working with structured and unstructured data.This position requires a bachelor’s degree in computer science, MIS, or mathematics, as well as 10+ years of experience in information technology (IT).ġ0+ years of progressively responsible experience in a directly related area, demonstrating both professional and management capabilities, and extensive experience in collecting business requirements from customers and transforming those requirements into business solutions are strongly preferred. Provide leadership in establishing operational and analytic environments.Ensure the successful delivery of solutions, training and documentation. ![]() Work with cross-functional teams to ensure end-to-end technical and business viability.Gather requirements, gain business and IT alignment, perform vendor and product evaluations, mentor business and IT resources.Responsible for planning and implementing data management for new data sources, publicly available data, business-to-business partnerships, and advanced data analytics systems all following the comprehensive enterprise data strategy.Develop and implement comprehensive enterprise data strategies, including data modeling, implementation, and data management for enterprise data warehouses, and advanced data analytics systems. ![]() Today, Data Architects need to be able to model and predict how changes in the way an organization acquires data could impact the way the organization uses that data, and map out the way data will flow through the various stages of a project. Data Architects work closely with users as well as developers to create plans. A Data Architect must create an end-to-end vision for how a design might translate into physical databases and how to integrate disparate sources of data. A Data Architect visualizes, designs, and prepares data in a framework that data scientists, engineers, and analysts can use.Data Architects often take data from disparate sources and develop a vision for combining those sources into a more cohesive, easier-to-use framework. Companies are making data-driven decisions now more than ever, and they need people to design and manage the databases where they store that data. ![]()
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