You will design and implement Data Lake and AI platforms using Microsoft Azure technologies.
Responsibilities
- 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.
Required Skills
- 10+ years of experience in data architecture focused 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.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline.
- Experience with Microsoft Azure.