Data Platform Engineer - AI

We are looking for a hands-on Technical Lead – Data Platform & Services Engineering with strong expertise in Azure Data Engineering, backend services, APIs, analytics, and cloud architecture. The candidate will design, build, modernize, and operate enterprise-scale data platforms and services on Microsoft Azure.Key Responsibilities:Data Platform & Engineering:Design and build scalable Azure data platforms, ETL/ELT pipelines, and analytical solutions.Develop large-scale data processing using Azure Databricks, Spark/PySpark, Azure Synapse, and Azure Data Factory.Design Lakehouse/Medallion architectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layersBackend Services & Integration:Design and develop REST APIs and backend services using C#, .NET, and ASP.NET Core.Build data and integration services using Azure SQL, Cosmos DB, Kusto, Azure Functions, Event Hubs, and Service Bus.Implement microservices and event-driven processing patterns with secure authentication and authorization. Modernization & ReliabilityModernize legacy data pipelines, services, APIs, storage platforms, and application components.Support platform and data migrations while ensuring functional and data parity.Implement logging, telemetry, dashboards, and proactive alerting using Azure Monitor and Application InsightsCloud, DevOps & Technical LeadershipBuild and maintain CI/CD pipelines using Azure DevOps and Git.Implement secure cloud practices using Azure Key Vault, identity, authentication, and access controls.Support Docker and Kubernetes/AKS-based workloads where applicable.Mandatory Skills:Data EngineeringAzure Databricks, Spark/PySparkAzure Synapse Analytics, Azure Data FactoryADLS Gen2, Delta LakeSQL Server / Azure SQLCosmos DB, Kusto / Azure Data ExplorerETL/ELT, Data Warehousing & Data ModelingLakehouse / Medallion ArchitectureData Quality, Reconciliation & GovernanceBackend & ServicesC#, .NET / ASP.NET CoreREST APIs & MicroservicesAzure FunctionsEvent Hubs & Service BusEntity Framework CoreAuthentication & AuthorizationCloud & DevOpsMicrosoft AzureAzure DevOps, Git & CI/CDAzure Monitor & Application InsightsAzure Key VaultDocker / KubernetesGood to HaveReact or Angular, TypeScriptGraphQLPower BIInfrastructure as CodeSRE / Production Support experienceAI/ML or AI-enabled analytics exposure