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.
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