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Data Architect

Synechron is looking to onboard ldquoData Architectrdquo in Jacksonville, FL. Who we are Synechron, one of the fastest-growing digital, business consulting technology services providers, is a 500 million firm based in New York. Since inception in 2001, Synechron has been on a steep growth trajectory. With 8,000 professionals operating in 18 countries across the world, it has presence across USA, Canada, UK, France, The Netherlands, Switzerland, Luxembourg, Serbia, Hungary, Germany, Italy, UAE, Singapore, Hong Kong, Philippines, Japan, Australia and Development Centers in India. Location Jacksonville, FL. Responsibilities Lead key business critical projects in the capacity of a Data Architect and Advisor Define Data Architecture standards, best practices and participate in governance activities Lead key data architecture data management initiatives Review business requirements and technical design documents to develop effective data and database solutions Provide insight into logical business data requirement to work with DBAs to support physical data model considerations Define, maintain and adhere to enterprise modeling standards Must Have. Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derivedanalytic data. Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing. Experience in Data Integrations as Data Loads for Salesforce Standard objects, Custom objects using various data tools - Data Loader, Import Wizard. Good knowledge of systems like Salesforce and Siebel. Works with the business and architects to model data properly in Salesforce Siebel for performance, quality, and security for current needs as well as forecasted business needs. Highly competent with relational database design and structured query language (SQL). Strong familiarity with data management tools, including enterprise repository tools, data modeling tools, data quality tools, data mapping tools, and data profiling tools. Working knowledge of SDLCs (Waterfall, and Agile).

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