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Data and ai architect

Sabadell
Grifols
Publicada el 2 abril
Descripción

Experteer Overview
Si cree que es el candidato ideal para la siguiente oportunidad, envíe su solicitud después de leer la descripción completa.
In this role you design and steer a global Data, Analytics and AI architecture to transform data into a strategic asset. You'll own end-to-end data, analytics and AI platforms, ensuring secure, scalable solutions that support Grifols' digital transformation. You collaborate with cross-functional teams in a highly regulated environment to enable data-driven decisions and AI at scale. This is a chance to shape enterprise data capabilities for a world-leading healthcare company.
Compensaciones / Beneficios
- Own end-to-end data, analytics and AI architecture across databases, warehouses, lakes, platforms and AI/ML components
- Architect scalable AI platforms using cloud services, frameworks, governance and security
- Define data schemas, storage strategies and access controls for performance and security
- Design and implement ETL/ELT pipelines and data integration across systems
- Lead AI product lifecycle from experimentation to production and scale
- Architect and optimize data and AI workloads using Azure, Microsoft Fabric and SAP Datasphere
- Guide governance, quality and standards in a highly regulated environment
- Develop long-term tech and analytics strategy, including innovation roadmaps
- Evaluate emerging technologies for data storage, processing, AI methodologies and enterprise adoption
Responsabilidades
- Bachelor's degree in Computer Science, Engineering, Data Science or related field
- Master's degree or PhD preferred
- 5+ years in enterprise data architecture (data modeling, data warehousing, data integration)
- Experience with SAP BW, SAP Datasphere, and Microsoft Fabric
- 3+ years developing AI/ML solutions in software engineering or applied AI roles
- Hands-on with advanced AI techniques (NLP, RAG, xqysrnh knowledge graphs)
- Strong experience with cloud data platforms (MS Fabric, SAP Data Sphere, Databricks, Snowflake) and big data frameworks (Kafka, Dataflow)
- Proficiency in Python and analytics languages such as SQL, R, SAS or Excel
- English: advanced
- Ability to simplify complex information for senior leadership
- Strong communication, collaboration with cross-functional teams and problem-solving
Requisitos principales
- Hybrid model
- Flexible schedule
- Permanent position
- Location: Parets del Vallès, Spain
- Benefits package

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