Azure ArchitectInfosysfull-timeRequired skillsPower BIAzurecompliancedata engineerdata modelingdata modelsSQLAbout the role Infosys Website: infosys.com Job details: 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 Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.