Azure Architect

Experience

• 9–14 years of overall IT experience
• 4–6+ years as a Data Architect or Senior Data Engineer / Lead
• Proven experience designing enterprise-scale data platforms on Azure Azure Data Expertise
• Strong hands-on experience with: o ADLS Gen2 o Azure Synapse Analytics and/or Azure Fabric o Azure SQL, Azure Cosmos DB
• Deep understanding of data modeling (conceptual, logical, physical)
• Experience with batch and streaming data architectures OpenAI & AI Data Concepts
• Working knowledge of Azure OpenAI Service
• Strong understanding of: o How LLMs consume and retrieve enterprise data o RAG patterns and vector-based retrieval o Embeddings and semantic search concepts
• Experience with or exposure to Azure AI Search / vector indexing Data Architecture & Platform Design
• Define and own enterprise data architecture on Microsoft Azure
• Design scalable, reliable data platforms including: o Data lakes and lakehouse architectures o Analytical and operational data stores
• Establish data standards, reference architectures, and best practices
• Lead modernization initiatives from legacy data platforms to cloud-native solutions OpenAI & Generative AI Enablement
• Architect AI-ready data foundations for Azure OpenAI and GenAI workloads
• Enable data pipelines and architectures to support: o Retrieval-Augmented Generation (RAG) o Embeddings and vector search o AI-powered Q&A, copilots, and analytics
• Design data access patterns for secure and governed LLM consumption
• Collaborate with application and AI teams to align data models with GenAI use cases Azure Data Services & Analytics
• Architect and guide implementations using: o Azure Data Lake Storage (ADLS) o Azure Synapse Analytics o Azure Fabric (OneLake, Lakehouse, Warehouses) o Azure SQL, Azure Cosmos DB
• Design batch and real-time data processing using: o Azure Data Factory / Synapse Pipelines o Azure Stream Analytics / Event Hubs (as applicable)
• Support BI and analytics integrations (Power BI, semantic models) Data Governance, Security & Quality
• Define data governance, lineage, and metadata strategies
• Implement data security and access controls using: o Azure AD / Entra ID o RBAC, PIM, and data-level security
• Ensure data quality, consistency, and compliance across platforms
• Enable responsible and compliant data usage for AI models Soft Skills
• Strong analytical and architectural thinking
• Ability to translate business needs into scalable data designs
• Excellent communication and documentation skills
• Leadership mindset with mentoring capability --- What We Offer
• Opportunity to work on AI-driven, data-intensive platforms
• Key role in shaping enterprise data and GenAI strategy
• Exposure to modern Azure analytics and AI ecosystems
• Competitive compensation and growth opportunities