AI Semiconductor Data Platform Engineer

Engineering Data Infrastructure | Manufacturing Intelligence | AI/ML Platforms Location: Bengaluru / Hyderabad / Pune / Noida, India Work Mode: Onsite Experience: 6 14 Years Industry: Semiconductor | Data Engineering | Artificial Intelligence | Smart Manufacturing Role Overview We are seeking an experienced AI Semiconductor Data Platform Engineer to design, build, and operate scalable data platforms supporting semiconductor design, manufacturing, test, quality, and AI/ML applications. The role focuses on integrating high-volume engineering data from EDA tools, wafer fabs, MES, equipment systems, metrology, yield databases, assembly, packaging, test, reliability, and enterprise applications into governed, secure, and analytics-ready data ecosystems. The successful candidate will work with Data Engineering, AI/ML, CAD, Manufacturing, Yield, Process, Equipment, Product Engineering, IT, and Digital Transformation teams to create the data foundation required for AI-driven engineering productivity, yield optimization, predictive maintenance, smart factory operations, and semiconductor knowledge systems. Key Responsibilities Design and implement scalable semiconductor data platforms across cloud, on-premise, and hybrid environments.Build reliable batch and streaming data pipelines for engineering, manufacturing, equipment, test, and quality data.Integrate data from MES, EDA tools, SPC, FDC, APC, equipment interfaces, wafer maps, metrology, ATE, PLM, ERP, and engineering databases.Develop data lakehouse architectures supporting analytics, AI/ML, reporting, and engineering applications.Create standardized data models for wafers, lots, devices, processes, tools, recipes, tests, failures, and yield metrics.Build APIs and data services for AI applications, digital twins, manufacturing analytics, and engineering copilots.Implement data quality, lineage, metadata, observability, and governance frameworks.Enable secure access to sensitive semiconductor IP and manufacturing data through role-based controls.Optimize data platforms for high-volume time-series, image, log, design, and test datasets.Partner with AI/ML teams to operationalize feature stores, training datasets, model pipelines, and inference workflows.Develop real-time analytics solutions for equipment health, process excursions, yield loss, and factory performance.Support platform reliability, performance optimization, disaster recovery, and production troubleshooting.Define reusable data engineering standards, architecture patterns, and development practices.Document data models, integrations, interfaces, operating procedures, and governance controls.Required Qualifications Bachelor s or Master s degree in Computer Science, Data Engineering, Electronics Engineering, Information Technology, Artificial Intelligence, or a related field.6 -14 years of experience in data engineering, cloud data platforms, industrial analytics, semiconductor IT, or manufacturing systems.Hands-on experience building enterprise-scale data pipelines and analytics platforms.Strong programming, SQL, data modeling, and distributed systems knowledge.Experience working with manufacturing, semiconductor, engineering, or other high-volume technical datasets.Technical Skills Data Engineering & Architecture Data Platform ArchitectureData Lakes and LakehouseETL / ELTBatch and Streaming PipelinesData ModelingDistributed ComputingData WarehousingAPI DevelopmentEvent-Driven ArchitectureMicroservicesCloud and Data Platforms DatabricksSnowflakeMicrosoft AzureAWSGoogle Cloud PlatformAzure Data FactoryAWS GlueDelta LakeBigQueryRedshiftSynapse AnalyticsBig Data and Streaming Apache SparkPySparkApache KafkaFlinkAirflowdbtHadoopKubernetesDockerProgramming PythonSQLScalaJavaShell ScriptingREST APIsGitAI/ML Platform Enablement MLflowFeature StoresMLOpsModel Data PipelinesVector DatabasesAI Training Data ManagementData VersioningModel Monitoring SupportSemiconductor Data Sources Manufacturing Execution Systems (MES)Statistical Process Control (SPC)Fault Detection and Classification (FDC)Advanced Process Control (APC)Equipment DataSECS/GEMWafer MapsMetrology DataYield and Defect DataATE and Test DataEDA Logs and ReportsProduct Lifecycle Management (PLM)Data Governance & Security Data LineageMetadata ManagementData CatalogRole-Based Access ControlMaster Data ManagementData QualityData ObservabilityData PrivacyIP ProtectionVisualization and Analytics Power BITableauGrafanaKibanaSuperset #LI-SD1 .