Information Architect Data Modeler

6 days ago


Toronto, Canada Bridgenext Full time

Join to apply for the Information Architect Data Modeler role at BridgenextBridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.We are seeking a Data Modeler located in Toronto, Canada who will focus on supporting the data strategy for the Investment Data Lake and building out its data assets.Responsibilities include but are not limited toUnderstand and translate business needs into data models supporting long-term solutionsClosely interact with business partners, stakeholders, functional experts, business analysts, contractors, and developers to understand the system requirements and architect and design the data model and database schema based on the requirementsWork with the Application Development team to implement data strategies, build data flows and develop conceptual data modelsCreate logical and physical data models using standard methodologies to ensure high data quality and reduced redundancyOptimize and update logical and physical data models to support new and existing projectsMaintain conceptual, logical and physical data models along with corresponding metadataDevelop standard methodologies for standard naming conventions and coding practices to ensure consistency of data modelsCommunicate effectively with no ambiguity during project execution on data modelUnderstand and articulate interdependencies, constraints of the data model to Data Engineers, project teams and business teamsRecommend opportunities for reuse of data models in new environmentsPerform reverse engineering of physical data models from databases and SQL scriptsEvaluate data models and physical databases for variances and discrepanciesUnderstanding and experience in OLAP, reporting and analytics principlesOwn the data definitions for all data tables and maintain data lineageValidate business data objects for accuracy and completenessAnalyze data-related system integration challenges and propose appropriate solutionsDevelop data models according to company standardsGuide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfacesWorkplace Hybrid role with 1 day per week in Toronto office. Candidates must reside within a commutable distance for this purpose.Must Have SkillsBachelor’s degree in computer science, information systems or relatedSolid experience with business intelligence and data warehousing development technologies, RDBMS, Hadoop and Analytics environmentsMinimum 5 to 8 years of experience in IT with a minimum of 4+ years in Data Model designExpertise with Big data technologies and Hortonworks/Cloudera HADOOP platform as well as BI and data warehousing development technologiesStrong Data Analysis skillsStrong Data Modeling skillsExpertise with Power Designer/Erwin Data Modeling toolFamiliarity with Capital Markets dataPreferred SkillsExperience with Azure SolutionsProfessional SkillsClear, professional written and verbal communication skillsAttention to details skills are critical to success in this positionStrong team and individual playerGood work ethic, maintaining composure during all types of situations and is collaborative by natureHigh standards of professionalism, consistently producing high quality resultsSelf-sufficient, independent requiring very little supervision or interventionDemonstrate flexibility and openness to bring creative solutions to address issuesBridgenext is an Equal Opportunity EmployerCanadian citizens and those authorized to work in Canada are encouraged to apply #J-18808-Ljbffr



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