Data Modeler Databricks Delta Lake / Lakebase & Oracle Cloud Migration

Data Modeler Databricks Delta Lake / Lakebase & Oracle Cloud Migration Experience: 8+ Years Employment Type: Full-Time Location: India (Hybrid/Remote) About the Role We are looking for an experienced Data Modeler with strong expertise in Databricks Delta Lake, Lakebase, Oracle migration, and modern cloud data platforms. The ideal candidate will be responsible for designing scalable enterprise data models, leading Oracle modernization initiatives, and building AI-ready data platforms using Databricks and cloud-native technologies. This role requires a deep understanding of data architecture, governance, metadata management, and cloud migration strategies while collaborating with business, engineering, analytics, and AI teams. Key Responsibilities Design and develop conceptual, logical, and physical data models for enterprise-scale data platforms.Lead Oracle database modernization and migration initiatives to modern cloud data platforms.Build scalable data architectures using Databricks Delta Lake and Lakebase.Develop optimized dimensional and normalized data models supporting analytics, reporting, and AI workloads.Implement Delta Lake best practices including partitioning, schema evolution, optimization, and performance tuning.Design metadata-driven data architectures using Unity Catalog.Implement enterprise data governance, security, and access management policies.Enable secure cross-platform data collaboration using Delta Sharing.Design scalable transactional and operational data solutions using Lakebase and cloud-native database technologies.Collaborate with Data Engineers, Architects, Data Scientists, and Business stakeholders to define enterprise data standards.Develop migration strategies, validation processes, and reconciliation frameworks for Oracle migrations.Ensure data quality, lineage, metadata management, and master data management across enterprise platforms.Support AI/ML initiatives by designing feature-ready datasets and analytical data models.Optimize cloud data platforms for scalability, reliability, security, and cost efficiency.Participate in architecture reviews, solution design discussions, and technology evaluations.Required SkillsDatabricks Databricks Delta LakeDatabricks LakebaseUnity CatalogDelta SharingDelta ArchitecturePerformance OptimizationCloud Platforms AzureAWSGoogle Cloud Platform (GCP)Data Modeling Conceptual Data ModelingLogical Data ModelingPhysical Data ModelingDimensional ModelingStar SchemaSnowflake SchemaData WarehousingDatabase Technologies Oracle DatabaseAzure SQL DatabaseAzure Synapse AnalyticsPostgreSQLMongoDBSnowflakeETL / ELT Tools Azure Data Factory (ADF)dbtInformaticaFivetranOther enterprise ETL/ELT platformsData Governance Microsoft PurviewCollibraAlationInformatica Enterprise Data Catalog (EDC)Data Management Data QualityData LineageMetadata ManagementMaster Data Management (MDM)Data CatalogData Governance FrameworksAI & Analytics AI/ML-ready Data ProductsFeature Engineering SupportAnalytical Data ModelingOracle Migration Experience Hands-on experience migrating Oracle workloads to one or more of the following: Databricks Delta LakeSnowflakeAzure SQL DatabaseAzure Synapse AnalyticsPostgreSQLMongoDBOther modern cloud-native databasesPreferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.Experience working in highly regulated industries such as:HealthcareFinancial ServicesInsuranceStrong understanding of enterprise data architecture and cloud modernization.Excellent communication and stakeholder management skills.Databricks or Cloud certifications are highly preferred.Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida) .