Data & AI Platform Architect – Azure & Databricks

Responsibilities

• Develop and maintain the architectural vision and multi-year roadmap for the enterprise Data & AI platform.
• Define architecture patterns for data products, machine learning solutions, and generative AI initiatives.
• Lead innovation initiatives involving Azure OpenAI, RAG, and vector-based knowledge architectures.
• Architect integration patterns between SAP, Databricks, and event-streaming platforms like Confluent Kafka.
• Establish architectural principles, guardrails, and standards for platform governance and responsible AI usage.
• Collaborate with security, governance, and business stakeholders to facilitate consensus on strategic technology decisions.

Requirements

• 5+ years experience as a Data Architect addressing complex enterprise data architecture challenges.
• 3+ years experience specialized in Data Platform or AI Platform Architecture.
• You possess expertise in Delta Lake and Lakehouse architecture patterns.
• You bring experience with Generative AI, LLM solutions, RAG architectures, and vector databases.
• You have hands-on experience with MLOps platforms and event-driven architecture.
• You possess the ability to translate conceptual information models into logical data models.
• You have experience working in hybrid environments involving both on-premise and cloud infrastructure.
• You bring professional knowledge of AI governance and Responsible AI frameworks.
• You're an analytical thinker with the ability to clearly substantiate architectural choices to stakeholders.
• You are native in Dutch.

Nice to Haves

• Experience with SAP BDC, Datasphere, BW, or S/4HANA data integration.
• Familiarity with LeanIX for enterprise architecture management.
• Certifications such as TOGAF, ArchiMate, Azure Solutions Architect Expert, or Databricks credentials.
• Willingness to obtain specific AI-related certifications.