{"id":1887047,"url":"https://alion.io/job/basf-ai-data-architect-mfd","title":"AI Data Architect (m/f/d)","company":{"id":96193,"name":"BASF","domain":"basf.com","url":"https://alion.io/company/basf-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":123000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":639},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Celery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphRAG","optional":false},{"name":"Kanban","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-05T03:06:12Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-13T01:34:28Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"WELCOME TO BASF\nDigital Hub Madrid attracts, grows, and develops passionate people who will meaningfully impact the digital future of BASF. Come join us and be a part of our digitalization journey.\nDescribe your Product Mission here / objective of the role: The AI & Automation Enablement team designs and engineers scalable AI and automation solutions that deliver measurable business value. By combining strong architecture, engineering excellence, and industrialization capabilities, we enable BASF to turn opportunities into production-ready systems - consistently, reliably, and at scale.\nAbout the Job: AI Data Architect in a project-oriented team who designs scalable, enterprise-grade data architectures and leads the engineering of robust data platforms, collaborating across domains and teams to enable the development and industrialization of AI solutions that deliver measurable business value.\nRESPONSIBILITIES\nDefine 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). \nDesign the data foundations for compound AI systems, including retrieval architectures (e.g. RAG), vector and knowledge stores, and feature/embedding layers. \nEstablish data modelling standards, semantic layers, and reusable reference architectures across workloads (batch, streaming, real-time, analytical, AI-driven) across the organization. \nDefine and enforce governance frameworks for data quality, lineage, security, and compliance, ensuring trustworthy and well-managed data products. \nSet architectural guidelines and best practices for scalable data platforms and pipelines, and ensure their consistent adoption \nProvide technical leadership and guidance to data engineers, data scientists, and business partners on data and AI architecture. \nEvaluate emerging technologies and define the strategic roadmap for the data and AI platform. \nStay current with trends and best practices in data architecture, AI, and cloud platforms. \nQUALIFICATIONS\nBachelor’s degree or Master’s in computer science, Information Systems, or a related field. \n5+ 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. \nData architecture and modelling for relational and NoSQL systems, including modern storage paradigms (e.g., object storage, lakehouse, warehouse). \nDesign of scalable data platforms and architectural patterns (e.g., Lakehouse, Data Mesh, Medallion), including governance, lineage, and quality considerations. \nArchitecture of compound AI systems, including data layers for AI solutions (e.g., RAG, GraphRAG), vector stores, graph databases, and embedding pipelines. \nStrong programming skills in Python, including asynchronous programming (asyncio) and data processing. \nApache Spark and Databricks platform \nCloud data platform expertise, preferably Azure Could and Azure data platform services. \nStreaming and event-driven architectures, using streaming services such as RabbitMQ or Apache Kafka \nBig data and large-scale compute architectures, including batch and real-time processing patterns. \nDesign of microservices and distributed systems, including API-based data services. \nContainerization and deployment practices using Docker (and Kubernetes as a plus) \nData security, privacy, and compliance (e.g., GDPR), including encryption, access control, and data masking/anonymization \nSoftware engineering practices, including Agile methodologies (Scrum, Kanban) and DevOps (CI/CD with GitHub Actions) \nContainer orchestration platforms: Kubernetes \nGraph database technologies and data modelling \nWorkflow orchestration and task management frameworks such as Apache Airflow and Celery \nAI/ML platforms and cloud AI services \nLLM and agentic solution patterns, including prompt engineering and orchestration of AI agents. \nMLOps practices, including model lifecycle management, CI/CD for ML, deployment, monitoring, and retraining pipelines. \nStrong problem-solving skills with the ability to work both independently and collaboratively in cross-functional teams. \nExcellent communication and stakeholder-management skills, with the ability to translate business needs into technical architectures and influence decision-making across teams. \nWHAT WE OFFER\nA secure work environment because your health, safety and wellbeing is always our top priority.\nFlexible work schedule and Home-office options, so that you can balance your working life and private life.\nLearning and development opportunities\n25 holiday days per year\n5 additional days (readjustment)\nA collaborative, trustful and innovative work environment\nBeing part of an international team and work in global projects\nRelocation assistance to Madrid provided\nAt BASF, the chemistry is right\nBecause 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","description_format":"text","description_chars":5872,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Relocation assistance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Farming & Agriculture","Transportation & Logistics","AgTech","Wind Energy"],"lifecycle":[{"event":"open","at":"2026-10-05T03:06:12Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Graduate Trainee, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; 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