Job Title Data Modeler – Databricks Delta Lake / Lakebase & Cloud Data Migration Experience 5+ Years Employment Type Full-Time Work Mode Hybrid Domain Healthcare / Financial Services / Insurance (Preferred) Job Summary We are seeking an experienced Data Modeler with strong expertise in Databricks Delta Lake Lakehouse architecture cloud data platforms and Oracle database modernization initiatives. The ideal candidate will be responsible for designing enterprise data models supporting large-scale data migrations and developing modern data architectures that enable analytics AI/ML and business intelligence solutions. The successful candidate will have hands-on experience with Databricks Unity Catalog Delta Sharing metadata governance ETL/ELT frameworks and cloud-native databases. This role requires strong knowledge of data modeling practices data governance lineage quality management and migration strategies from traditional Oracle platforms to modern cloud data ecosystems. Key Responsibilities Design and develop conceptual logical and physical data models for enterprise-scale data platforms. Define data architecture patterns for Databricks Lakehouse environments using Delta Lake and Lakebase capabilities. Support Oracle database modernization and migration initiatives to modern cloud platforms. Design optimized data structures for Databricks Delta Lake Snowflake Azure SQL Database Azure Synapse Analytics PostgreSQL MongoDB and other cloud-native databases Develop data models supporting analytics reporting operational workloads and AI/ML use cases. Implement data modeling best practices including normalization dimensional modeling star schemas and data vault concepts where applicable. Collaborate with data engineers architects analysts and business stakeholders to define enterprise data requirements. Support implementation of Databricks Unity Catalog Delta Sharing and metadata governance frameworks. Define data lineage ownership security and governance standards. Work with ETL/ELT teams to design efficient data ingestion and transformation processes. Support data pipeline development using tools such as Azure Data Factory (ADF) dbt Informatica Fivetran Other ETL/ELT platforms Partner with data governance teams to implement metadata management data quality and compliance processes. Design AI/ML-ready data products and support feature engineering requirements. Perform data analysis profiling validation and optimization activities. Provide technical guidance during migration integration and modernization projects. Required SkillsData Modeling & Architecture Enterprise Data Modeling Conceptual Logical and Physical Data Models Dimensional Modeling Data Architecture Principles Data Warehouse Design Data Lakehouse Architecture Data Product Design Databricks & Lakehouse Databricks Delta Lake Databricks Unity Catalog Delta Sharing Lakehouse Architecture Databricks Lakebase / Cloud-Native Transactional Data Platforms Metadata Governance Cloud Platforms Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) Database Migration & Modernization Oracle Database Migration Oracle to Cloud Modernization Databricks Delta Lake Migration Snowflake Migration Azure SQL Database Azure Synapse Analytics PostgreSQL MongoDB ETL / ELT & Data Integration Azure Data Factory (ADF) dbt Informatica Fivetran Data Pipeline Design Data Transformation Frameworks Data Governance Microsoft Purview Collibra Alation Informatica Enterprise Data Catalog (EDC) Data Lineage Metadata Management Master Data Management (MDM) Data Quality Frameworks Preferred Skills Experience designing healthcare insurance or financial services data models. Knowledge of regulatory and compliance requirements for highly governed data environments. Experience supporting AI/ML-ready data platforms and feature engineering pipelines. Familiarity with ML feature stores and analytical data products. Experience with SQL Python and data analysis techniques. Understanding of cloud security access controls and data privacy practices. Experience working with Agile delivery teams. Required Qualifications Bachelor's or Master's degree in Computer Science Information Technology Data Engineering or related field. 5+ years of experience as a Data Modeler Data Architect or similar data engineering role. Strong experience designing enterprise data models and supporting modernization programs. Hands-on experience with Databricks Delta Lake and modern cloud data platforms. Experience migrating workloads from Oracle to cloud-based data platforms. Strong understanding of data governance metadata management and data quality practices. Excellent analytical communication and problem-solving skills. Preferred Certifications Databricks Certified Data Engineer Databricks Certified Data Architect Azure Data Engineer Associate (DP-203) Snowflake Certification Cloud architecture certifications Success Measures Successful delivery of scalable and optimized enterprise data models. Smooth migration of Oracle workloads to modern cloud platforms. Improved data governance quality lineage and discoverability. Enablement of analytics and AI/ML-ready data products. Increased efficiency and reliability of enterprise data platforms. Work Location Hybrid remote in Remote