| Data Architect at Remote, Remote, USA |
| Email: [email protected] |
| From: sunil, ICS [email protected] Reply to: [email protected] Role - Data Architect (Remote is Ok but Prefer Onsite) Location: Remote Duration: Long term Primary Skills - Must have "Data Modeling, Data Architecture, Data Analysis" Overview / Responsibilities Responsible for the management of Customer metadata assets through the development and refinement of the enterprise data model and product specific logical data models. The incumbent can be assigned to multiple product teams but may also work independently. An individual in this position performs two primary types of data analysis: reverse-engineering of complex applications which involve the development of data business rules through the analysis and refinement of existing applications as well as top-down data analysis of data rules on initiatives that are broad in scope and large in size which involve the extension of the enterprise data model through the gathering of data business rules through project related work. The incumbent collaborates with product teams, peer data analysts, their business partners, and the cross-functional data stakeholders to ensure that the business rules meet product needs and at the same time represent the needs of FM Global from an enterprise perspective. Although the incumbent may support a specific product team, he/she is accountable for ensuring that the data business rules integrate across subject areas and/or business domains. Acting as a mentor, the incumbent provides consultation to their business and product partners on data quality issues, data management, and data business rule development. Qualifications 7+ years of experience in data analysis developing logical and enterprise data models utilizing one of the leading model management tools within the industry. TECHNICAL KNOWLEDGE Transactional data modeling skills in ER-Studio or ERWIN Strong knowledge of data repositories and metadata management disciplines. Strong knowledge of Agile methodologies and how to data modeling aligned to it Strong knowledge of planning and task management. TECHNICAL SKILLS Expert level data analysis and data modeling skills on large, enterprise-based initiatives. Working knowledge of data architectures and data normalization Hands-on experience with industry leading data governance tools. Experience working on Data Quality and Master Data Management tools are a plus In depth experience in application project-related data analysis. Excellent analytical, problem solving and conceptual skills. Good project discipline, operating as part of a team or across teams to reach agreement to the enterprise view of the data SOFT SKILLS Excellent verbal and written communication skills with an ability to express complex business rules in a data model and to interpret the data rules from a data model. Strong interpersonal skills. Experience mentoring other team members Ability to work well on cross-functional project teams within Technology, Product and the business environment. Education Bachelor degree in Computer Science, Information technology, or a related discipline, or equivalent work experience and technical training with a non-related Bachelor degree. Keywords: information technology |
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| Wed Dec 07 00:59:00 UTC 2022 |