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Data Architect

35 minutos atrás

Lisboa, Portugal iQube IT Consulting Tempo inteiro

iQube iQubeis an IT consulting company based in Lisbon, Portugal, specialising in accelerating its clients' digital transformation through intelligent and efficient technological solutions. The company focuses on three main areas of services: IT Outsourcing (providing scalable integration of experienced professionals), Project Implementation (custom software development, web and mobile applications) and AI Consulting (helping organisations implement and optimise Artificial Intelligence strategies, from feasibility assessments to building predictive systems). iQube operates with a flexible, customer-centric approach, supporting both Portuguese national operations and international customers through a nearshore model. Data Architect About the role Data Architect is involved in the designing and planning phases for the complete data architecture of an organization. Developing strategies and action plans for implementing scalable and efficient data solutions aligned with the organization's goals and requirements. Their mission includes defining the data models, data flow, and data storage infrastructure to ensure data accessibility, integrity, and security. The Data Architect must be able to build and document an end-to-end solution from scratch. Working closely with stakeholders, including data engineers, analysts, and business leaders. As a part of your job, you will: Developing and implementing an overall organizational data strategy that is in line with business processes; Support Project proposals; Establishing data standards and policies; Evaluating and recommending data technologies before and during the project implementation; Providing guidance and training support; Creating data governance processes. What are we looking for? Strong knowledge of data architecture principles and best practices; Experience in designing and implementing data models and database schemas; Proficiency in data integration techniques and tools (e.g., ETL/ELT processes); Understanding of data governance, data security, and privacy practices; Familiarity with data storage and processing technologies (e.g., data warehouses, data lakes); Knowledge of cloud-based data platforms and services (e.g., AWS Redshift, Azure SQL Data Warehouse). Personal traits: Ability to adapt to different contexts, teams and Clients Teamwork skills but also sense of autonomy Motivation for international projects and ok if travel is included Willingness to collaborate with other players Strong communication skills