Data Modeler – Databricks Delta Lake / Lakebase & Oracle Cloud MigrationJob Summary

We are looking for an experienced Data Modeler with strong expertise in Databricks, Delta Lake, cloud-native databases, data governance, and Oracle cloud migration. The ideal candidate will be responsible for designing scalable data models, supporting modernization initiatives, and migrating Oracle workloads to modern cloud data platforms.

Key Responsibilities

- Design and develop scalable conceptual, logical, and physical data models for modern cloud data platforms.
- Work extensively with Databricks, Delta Lake, Unity Catalog, and Delta Sharing.
- Support metadata management, data lineage, governance, and data quality initiatives.
- Design and implement data models for Databricks Lakebase and other cloud-native transactional/operational databases.
- Lead or support migration of Oracle workloads to modern platforms such as:
- Databricks Delta Lake
- Snowflake
- Azure SQL Database
- Azure Synapse
- PostgreSQL
- MongoDB
- Collaborate with Data Engineers, Data Architects, Data Scientists, and business stakeholders to define data requirements and modeling strategies.
- Develop data structures that support AI/ML-ready data products and feature engineering.
- Support ETL/ELT processes using tools such as Azure Data Factory, dbt, Informatica, Fivetran, or similar technologies.
- Implement and maintain data governance practices using platforms such as Microsoft Purview, Collibra, Alation, or Informatica EDC.
- Ensure data models meet requirements for performance, scalability, security, quality, and regulatory compliance.
- Document data models, business definitions, metadata, data lineage, and transformation rules.




- Support data modernization and migration projects from legacy Oracle environments to cloud-native platforms.

Required Skills & Experience

- Strong experience in Data Modeling, including conceptual, logical, and physical data models.
- Hands-on experience with Databricks and Delta Lake.
- Experience with Databricks Unity Catalog, Delta Sharing, and metadata governance.
- Experience with Databricks Lakebase or similar cloud-native transactional/operational database technologies.
- Experience with at least one major cloud platform: Azure, AWS, or GCP.
- Experience with Oracle database migration and modernization.
- Strong knowledge of SQL, relational databases, data warehousing, and database design.
- Experience with ETL/ELT tools such as Azure Data Factory, dbt, Informatica, Fivetran, or equivalent.
- Experience with data governance and cataloging tools such as Microsoft Purview, Collibra, Alation, or Informatica EDC.
- Knowledge of data quality, data lineage, master data management (MDM), and metadata management.
- Experience designing data platforms that support AI/ML workloads and feature engineering.

Preferred / Nice to Have

- Experience in healthcare, financial services, insurance, or other highly regulated industries.
- Experience with large-scale cloud data modernization and migration programs.
- Knowledge of security, compliance, and governance requirements for enterprise data platforms.
- Experience working with both batch and real-time/operational data architectures.
- Familiarity with contemporary data architecture patterns such as Lakehouse and data products.

Employment Details

Job Title: Data Modeler – Databricks Delta Lake / Lakebase & Oracle Cloud Migration
Experience: 5+ Years

Work Location: Remote

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