Hybrid Data & AI Architect — Scale AI in Healthcare
1 month ago
Parets del Vallès
Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions. No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad. We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities, fostering an inclusive environment where diversity makes us outstanding. Help us lead one of the world’s largest pharmaceutical companies. We are a world leader in plasma-derived medicines with a presence in more than 100 countries, and a growing global team of over 20.000 people. That’s why we need aData AI Architect like you. Mission To design and lead a cohesive Global Data, Analytics and AI Architecture that transforms data into a strategic asset and enables advanced analytics and AI at scale. You will design and deliver the end‑to‑end data and AI ecosystem—covering ingestion, modeling, storage, governance, and operationalization—to ensure secure, reliable, and business‑aligned capabilities. The mission is to build a high‑performing and sustainable environment where data is accessible, trusted, and ready to power intelligent solutions, supporting the organization’s long‑term vision and accelerating digital transformation. What your responsibilities will be End-to-end data, analytics and AI architecture ownership spanning databases, data warehouses, data lakes, analytics platforms, and AI/ML components. Architect scalable AI platforms, selecting appropriate frameworks, cloud services, orchestration tools, and governance processes to ensure safety and security. Define data schemas, storage strategies, and access controls ensuring proper data organization, security, and performance. Design and implement ETL/ELT processes, pipelines, and data integration patterns across all organizational systems. Guide the end‑to‑end implementation of AI products—from experimentation to production—ensuring operationalization at scale. Architect and optimize data and AI workloads leveraging Azure cloud‑native services and analytics platforms such as Microsoft Fabric and SAP Datasphere. Governance, Quality & Standards Lead architectural governance and peer review of technical artifacts, guaranteeing compliance and consistency with enterprise frameworks. Take into account we work in a highly regulated environment. Strategic Leadership & Innovation Develop and maintain the long-term technology and analytics strategy, including innovation roadmaps for data engineering, analytics, and AI. Evaluate and recommend emerging technologies for data storage, processing, AI methodologies, and enterprise adoption. Who you are To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions). Technical Skills: Bachelor’s degree in Computer Science, Engineering, Data Science or related field. Master’s degree or PhD in AI, Computer Engineering, or related fields preferred. Advanced English language skills (spoken and written). Minimum of 5 years of experience in enterprise data architecture, covering data modeling, data‑warehousing design, and data‑integration frameworks, including wrapped services and API‑driven integration. Experience with SAP BW, SAP Datasphere, and Microsoft Fabric is required. Minimum of 3 years developing AI/ML solutions and platforms in a software engineering or applied AI role. Hands-on experience with advanced AI techniques and architectures (e.g., NLP, RAG, knowledge graphs). Strong experience with cloud-based data platforms such as MS Fabric, SAP Data Sphere, Databricks, Snowflake, and big data frameworks (Kafka, Dataflow). Strong proficiency in Python and data analytics languages such as SQL, R, SAS, or Excel. Soft Skills Ability to simplify complex information and present to senior leadership. Excellent communication skills and the ability to work under pressure. Ability to collaborate with cross‑functional teams and align diverse stakeholders. Problem-solving and critical-thinking abilities. What we offer It is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment. Information about Grifols is available at If you are interested in joining our company and you have what it takes for such an exciting position, then don’t hesitate to apply! We look forward to receiving your application! We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help. Grifols is an equal opportunity employer. Flexibility for U Program: Hybrid Model Flexible schedule: Monday-Thursday 7-10 to 16-19h and Friday 8-15h (with the same flexible start time). xcskxlj Benefits package Contract of Employment: Permanent position #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.
