More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. &##We are looking for a Data, Analytics & AI Architect to define and drive the strategic vision for enterprise data and AI systems. This role focuses on designing and implementing scalable, secure, and innovative data platforms and AI capabilities that enable business intelligence, advanced analytics, and machine learning across the organization. You will shape the enterprise data and analytics strategy, ensuring alignment with business goals. Also, you will act as a trusted advisor on complex projects, owning architectural artifacts, high-level designs, proof of concepts (POCs), and deployment support for data, analytics, and GenAI solutions. &##100% Remote, from Spain Architecture Leadership Define and maintain architecture patterns, principles, and best practices. Design solutions for data and analytics initiatives, ensuring alignment with enterprise objectives. Analyzes current architectures to identify weaknesses and develop opportunities for improvements. Assess capability maturity and build future-state architecture roadmaps. Expertise in data platforms, cloud technologies (Azure, AWS, GCP), data modeling, and analytics tools. Develop and deploy models using TensorFlow, PyTorch, Scikit-learn. Familiarity with cloud-based ML platforms, such as AWS SageMaker, Azure Foundry, or Google AI Platform, Mosaic AI Experience in utilizing tools like MLflow for managing the ML lifecycle, including experimentation, reproducibility, and deployment Ability to integrate advanced analytics and AI/ML models into existing data workflows, ensuring seamless access and usability &##9-12 years of experience in data and analytics solution delivery or related position ~5-8 years of architecture or design experience across a broad range of data and analytics capabilities with a cloud background Data and Analytics computing methodologies Data and Analytics platforms, tools, and integration processes both on-prem and cloud Data Fabric framework Basic Programming skills in Python, SQL Data management and data security Data pipeline tools like ADF, IICS Data platforms: Snowflake, Databricks, BigQuery BI tools: Power BI, Tableau, Looker Cloud platforms: Azure, AWS, GCP Streaming/Event processing and pub/sub software AI/ML Tools like MLOps, Tensorflow, Mosaic AI, AWS Sagemaker, Pytorch &##English B2+/C1&##Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Heath Care Plan…)-&##Free access to several training platforms -&##Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…)-&##