Summary: This Data Architect role focuses on shaping and structuring an organization’s end-to-end data landscape, defining data collection, storage, processing, and access. Highlights: 1. Shape and structure an organization's end-to-end data landscape 2. Design and implement data governance frameworks 3. Collaborate with diverse technical and business stakeholders **About the Role** ------------------ The Data Architect role focuses on shaping and structuring an organization’s end\-to\-end data landscape. This position plays a key role in the early design and planning stages of data architecture, defining how data is collected, stored, processed, and accessed across the business. The objective is to deliver scalable, high\-performing data solutions that support strategic and operational goals. The role involves designing data models, defining data flows, and selecting appropriate storage platforms to ensure reliability, security, and data quality. The Data Architect is expected to design and clearly document complete data solutions from the ground up. Close collaboration is required with a broad range of stakeholders, including technical teams, data specialists, and business decision\-makers, to ensure alignment between data solutions and business needs. **Key Responsibilities** ------------------------ * Define and execute a comprehensive data architecture strategy aligned with organizational processes and objectives * Contribute to project proposal preparation by providing data architecture expertise * Establish and maintain data standards, guidelines, and architectural principles * Assess, select, and recommend data technologies throughout the project lifecycle * Provide architectural guidance, knowledge sharing, and training support to project teams * Design and implement data governance frameworks and operating processes **Required Skills and Experience** ---------------------------------- * Strong understanding of data architecture concepts, methodologies, and best practices * Proven experience in designing data models and structuring database schemas * Hands\-on knowledge of data integration approaches, including ETL and ELT processes * Solid understanding of data governance, data protection, and privacy regulations * Experience with modern data storage and processing environments such as data warehouses and data lakes * Familiarity with cloud\-based data platforms and services (e.g., AWS Redshift, Azure SQL Data Warehouse) **Personal Attributes** ----------------------- * Ability to adapt to diverse environments, teams, and client contexts * Comfortable working collaboratively while maintaining a high degree of autonomy * Interest in international assignments, with flexibility to travel when required * Strong collaborative mindset and willingness to work with multiple stakeholders * Clear and effective communication skills across technical and non\-technical audiences **If you got this far you are committed! We want to know you, apply today!** PS: Have a look into our office in **Porto** **Note:** As a potential candidate for this position, you understand and agree that the information provided in your job application, including your resume and cover letter, is strictly confidential. We assure you that this information will not be disclosed to your current employer or any third party without your written consent. By submitting your application, you affirm that all information is true and accurate to the best of your knowledge.