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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Architect - **Company:** BASF SE - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Architectural Patterns, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Computer Programming, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Masking, Data Security, DevOps, Distributed Systems, Github, Graph Database, Python (Programming Language), NoSQL, Scrum Methodology, RabbitMQ, Azure Machine Learning, Software Engineering, Data Streaming, Workflow Management Systems, Data Processing, Cloud Platform System, Real Time Systems, Azure Data Factory, Large Language Models, Prompt Engineering, Apache Spark, Data Layers, Event Driven Architecture, Containerization, AI Platforms, Kubernetes, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Celery, Asynchronous Programming, Api Design, Data Pipelines, Docker, Databricks, Microservices - **Published:** July 21, 2026 - **Apply:** https://www.tecnoempleo.com/ai-data-architect-m-f-d-basf/python-apache-spark/rf-526c10c8f2aff34ea146 ## About the Role Bachelor´s degree or Master´s in computer science, Information Systems, or a related field. - 5+ years of experience in data engineering and data architecture, including designing data models, platforms, and end-to-end data pipelines. Proven experience defining data architecture for AI/analytics solutions on a major cloud platform (Azure preferred; AWS a plus) and Big Data architectures. - Data architecture and modelling for relational and NoSQL systems, including modern storage paradigms (e.g., object storage, lakehouse, warehouse). - Design of scalable data platforms and architectural patterns (e.g., Lakehouse, Data Mesh, Medallion), including governance, lineage, and quality considerations. - Architecture of compound AI systems, including data layers for AI solutions (e.g., RAG, GraphRAG), vector stores, graph databases, and embedding pipelines. - Strong programming skills in Python, including asynchronous programming (asyncio) and data processing. - Apache Spark and Databricks platform - Cloud data platform expertise, preferably Azure Could and Azure data platform services. - Streaming and event-driven architectures, using streaming services such as RabbitMQ or Apache Kafka - Big data and large-scale compute architectures, including batch and real-time processing patterns. - Design of microservices and distributed systems, including API-based data services. - Containerization and deployment practices using Docker (and Kubernetes as a plus) - Data security, privacy, and compliance (e.g., GDPR), including encryption, access control, and data masking/anonymization - Software engineering practices, including Agile methodologies (Scrum, Kanban) and DevOps (CI/CD with GitHub Actions) - Container orchestration platforms: Kubernetes - Graph database technologies and data modelling - Workflow orchestration and task management frameworks such as Apache Airflow and Celery - AI/ML platforms and cloud AI services - LLM and agentic solution patterns, including prompt engineering and orchestration of AI agents. - MLOps practices, including model lifecycle management, CI/CD for ML, deployment, monitoring, and retraining pipelines. - Strong problem-solving skills with the ability to work both independently and collaboratively in cross-functional teams. - Excellent communication and stakeholder-management skills, with the ability to translate business needs into technical architectures and influence decision-making across teams. ## Description Define and own the end-to-end data architecture for AI solutions, from ingestion and storage to serving layers powering models and analytics (e.g., batch pipelines, real-time APIs). - Design the data foundations for compound AI systems, including retrieval architectures (e.g. RAG), vector and knowledge stores, and feature/embedding layers. - Establish data modelling standards, semantic layers, and reusable reference architectures across workloads (batch, streaming, real-time, analytical, AI-driven) across the organization. - Define and enforce governance frameworks for data quality, lineage, security, and compliance, ensuring trustworthy and well-managed data products. - Set architectural guidelines and best practices for scalable data platforms and pipelines, and ensure their consistent adoption - Provide technical leadership and guidance to data engineers, data scientists, and business partners on data and AI architecture. - Evaluate emerging technologies and define the strategic roadmap for the data and AI platform. - Stay current with trends and best practices in data architecture, AI, and cloud platforms., Because we are counting on innovative solutions, sustainable actions, connected thinking and on you, become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief. At BASF, we are committed to upholding and ensuring compliance with company standards related to quality, environment, health, safety, and energy, in line with our global guidelines. We actively promote a culture of prevention and continuous improvement, encouraging collaboration in initiatives related to quality, environmental protection, health, safety, and energy performance. We foster responsible energy use, promoting efficiency in daily operations and supporting the identification of improvement projects and energy-saving opportunities., Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web. * Madrid - España Ubicación * Arquitecto TIC Funciones * Jornada completa Jornada * Más de 5 años Experiencia * Indefinido Tipo contrato * ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)