Responsibilities: Develop Enterprise Data Strategy. Collaborate with Business areas and cross functional Enterprise Architects to fully understand business needs and provide strategic consultation and translate requirements into solution architecture and design roadmap. Actively participate in Data Governance Council. Partner with developers, architects, other technical team members and database administrators to design and develop high performing data solutions and maintain consistent development functions. Architect Enterprise Data Access Patterns. Consult with EDS teams as needed to provide architecture considerations on legacy solutions. Contribute to the development of a mature data stewardship process
Qualifications: Bachelor’s degree or equivalent certifications / experience required. 12 + years Data Warehouse, Data Analytics, Database Modeling experience required. 5 + years of Business Intelligence application delivery required – Experience in Microsoft Business Intelligence stack (SSIS, SSAS, SSRS, SQL Server) a plus. Experience with Microsoft SQL Server, MDS, PowerBI (specifically SQL Server 2012+) and/or Oracle required Experience working in an Agile environment preferred. Experience in relational and dimensional data modeling required. Experience in the Insurance industry and/or LOMA coursework preferred; FLMI certification a plus. Experience working in a multi-tier data delivery environment required. Ability to lead, influence and modify behaviors on a team comprised of IT and Business partners in support of data strategy. Ability to work independently or as a part of team.Knowledge of Enterprise Data, Data Warehousing, MDM and analytics platforms. Knowledge of structured data, such as entities, classes, hierarchies, relationships and metadata. Knowledge of database management system (DBMS) including tables, joins and SQL querying. Ability to combine data from multiple sources when needed for analysis. Familiarity with and ability to document the use cases, business purposes and quality of the data. Understanding of data quality concepts, best practices and tools, with strong experience with data analysis techniques. Strong analytical and problem solving skills. Ability to quickly understand how various elements relate to one another, having an end to end perspective of decisions and anticipating issues/roadblocks.
by via developer jobs - Stack Overflow
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