Senior Architect – Data Lake, Microsoft Technologies & AI

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.

• 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.

• 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.