| Job Location | Casablanca, Morocco |
| Education | Not Mentioned |
| Salary | Not Mentioned |
| Industry | Other Business Support Services |
| Functional Area | Not Mentioned |
IntroductionAs an IBM Application Architect, you directly help clients transform their business and solve complex problems. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. You are a technical leader, serving as a liaison among business partners, technical resources, and project stakeholders.Your Role and ResponsibilitiesPurpose: Identify the enterprise data needs, design and maintain the data assets to meet the customer needs. Further, use master blueprints to guide data integration, data flows, data assets management and align data modelling. Develop strategy to evolve data products and services with the purpose to achieve data consistency and performance across the analytics/data solutions. Support data management with e.g. data governance, storage and operations.Develop a strategy to quickly evolve data products and services to take advantage of Ericsson business opportunitiesDesign plans to meet current and long-term data requirementsIdentify data storage and processing requirements. Recommend new technologies to improve the data assetsEstablish Data Architecture evaluate existing data architecture specifications and develop a roadmap for the futureDesign end to end Data Architectures taking both specific business needs and our enterprise blueprints in to account to make sure we have efficient reuse and operationsDeliver Data Architecture Artefacts (a) Outline of Strategic Data Requirements (b) Data Architecture Design and Integration Design to meet the requirements (c) Data Flow Design (d) Data Models (e) Data Value Chains (f) Support (and use) with Standard Business Vocabulary for data and components (g) Alignment with Enterprise Architecture and Enterprise Data Model and Reference Data Model (h) Implementation Roadmap for all data in scopeSupport with the following data management areas (a) Data Governance (b) Data Storage and Operations (c) Data Security (d) Data Integration and Interoperability (e) Reference and Master Data (f) Data Warehousing, BI and Analytics (g) Metadata Management (h) Data Quality (full data lifecycle management for all data areas)Secures easy access to data while keeping data security in mind (define access)Enable deployment of data modelling tools, techniques and methodologies to support data management and analysisForecast how changes in data acquisitions will impact data structures and data useProvide input to data engineering team to implement identified data logic for extraction and transformationRequired Technical and Professional ExpertiseBachelors in Engineering or equivalentExperience in Data & Analytics work Data Warehousing, ETL, Visualization, Collaboration, PlatformsKnowledge, experience and skills in the required technologies for the project / assignment this includes several Cloud tools and technologiesKnowledge, experience and skills in the required data domainsSenior profiles in similar positionPreferred Technical and Professional ExpertiseN/A
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