Our client is a global leader in the chemical industry and is characterized by the development of innovative solutions in various sectors. Join their rapidly growing and international Digital Hub in Madrid to become part of their digitalization journey supporting their Data & AI Powerhouse within their Product Data Semantics team.
Your responsibilities:
- Lead the development of the Data Excellence architecture, including the Semantic Layer, Ontology Management Framework, Graph Tech Stack, Data Catalog, and Data Marketplace.
- Ensure seamless integration of Data Excellence components, working closely with the Product Owner and Solutions Architect, particularly regarding their Data Catalog.
- Automate processes and workflows to streamline operations and synchronize data across systems.
- Collaborate with the product team to identify demand, innovate new features, and implement solutions for dynamic data interactions.
- Translate functional and non-functional requirements into a cost-effective and efficient system architecture.
- Evaluate and integrate new technologies to enhance user experience and operational efficiency.
- Design and implement high-quality solutions adhering to best practices and comprehensive testing.
- Engineer and incorporate cutting-edge machine learning and AI models to elevate information extraction, retrieval, and graph analytics.
Your Skills:
- Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics, or related field.
- Minimum 10 years of lead architect experience, adept at pioneering solutions and addressing stringent security requirements.
- Proficient in Python and Java; additional languages preferred.
- Extensive experience designing and implementing large-scale systems using NoSQL technologies, with emphasis on graph databases.
- Skilled in cloud computing platforms (Azure, AWS, or Google Cloud) and secure system implementation.
- Experienced in agile project management, successfully leading projects to completion.
- Familiarity with Kubernetes, CI/CD pipelines, and infrastructure as code (e.g., Terraform).
- High level of English and strong communication skills.
- Advantageous: Proficiency in high-performance computing (HPC) and large-scale search applications, especially in intellectual property or scientific domains, coupled with expertise in semantic technologies, NLP, machine learning, and dynamic API development, including familiarity with GraphQL.
Your Benefits: