Job description

Key Responsibilities • Design and implement Data Lake and AI platforms using Microsoft Azure technologies (Azure Data Lake, Synapse, Microsoft Fabric, Databricks, Cognitive Services, OpenAI). • Define data architecture frameworks covering ingestion, transformation, storage, governance, and AI model integration. • Build and optimize end-to-end data pipelines across structured and unstructured data sources. • Collaborate with data scientists to operationalize AI/ML models for predictive analytics and automation. • Establish best practices for data security, compliance (GDPR), and performance optimization. • Drive innovation by integrating Generative AI, Cognitive Services, and Machine Learning capabilities into enterprise applications. • Mentor teams on modern Microsoft Data & AI tools and architecture standards. Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline. • 10+ years of experience in data architecture with a focus on Microsoft Azure ecosystems. • Expertise in Azure Data Lake, Synapse Analytics, ADF, Power BI, Microsoft Fabric, and Databricks. • Proven experience integrating AI/ML pipelines using Azure Machine Learning, Cognitive Services, or Azure OpenAI. • Strong background in ETL/ELT design, data modeling, and MLOps. • Proficiency in Python, PySpark, SQL, and REST APIs. • Excellent communication skills in English; German proficiency is a plus. Preferred • Experience implementing AI-powered analytics or LLM-based data solutions. • Familiarity with RAG architecture, vector databases, or prompt engineering. • Microsoft Certified: Azure Solutions Architect Expert / Data Engineer Associate preferred.

Requirements