What are the responsibilities and job description for the Technical Architect position at Covetus?
Architecture & Strategy
• Design and modernize data architectures for Azure AI Foundry, aligning with enterprise AI and analytics strategies.
• Develop scalable solutions using Azure PaaS services such as Azure Data Factory, Synapse Analytics, Azure Data Lake, Cosmos DB, and Azure Machine Learning.
• Architect AI workloads using reference models for generative AI (e.g., LLMs, RAG) and non-generative AI (e.g., predictive analytics, classification).
Implementation & Integration
• Lead end-to-end data platform modernization efforts including migration, transformation, and optimization.
• Integrate AI services such as Azure OpenAI, Cognitive Services, and Azure AI Studio into data pipelines and applications.
• Ensure seamless data flow across structured and unstructured sources using ETL/ELT pipelines.
Governance & Security
• Implement data governance, lineage, and cataloging using Purview and other Azure-native tools.
• Enforce security, compliance, and privacy standards across AI and data workloads.
• Apply Well-Architected Framework principles to ensure reliability, scalability, and cost-efficiency.
Collaboration & Leadership
• Collaborate with data scientists, ML engineers, and business stakeholders to translate business needs into technical solutions.
• Mentor junior architects and engineers, fostering a culture of innovation and excellence.
• Act as a technical advisor in architectural design sessions and customer engagements.
Skills and Qualifications:
• 12 years of experience in data architecture, cloud platforms, and enterprise data solutions.
• Deep expertise in Azure data services: Azure SQL, Synapse, Data Factory, Data Lake, Cosmos DB.
• Experience with AI/ML platforms: Azure Machine Learning, Azure OpenAI, Databricks, PyTorch, scikit-learn.
• Strong understanding of AI architecture patterns including GenAIOps, MLOps, and RAG.
• Proficiency in data modeling, data warehousing, and real-time analytics.
• Familiarity with data governance tools and frameworks.
• Excellent communication and stakeholder management skills.
