Location Dayton FL Onsite
Must Have Skills
1 Strong experience in Enterprise Data Modeling including Conceptual Logical and Physical Data Models
2 Experience designing data models for Databricks Lakehouse Architecture Bronze Silver Gold layers
3 Expertise in Dimensional Modeling Star Schema Snowflake Schema and Data Vault concepts
4 Strong knowledge of Azure Databricks Delta Lake and Sparkbased data platforms
5 Experience in SourcetoTarget Mapping Data Lineage and Data Quality Frameworks
6 Advanced SQL and Data Analysis skills
7 Experience working with largescale Data Warehouse Data Lake and Data Modernization programs
Secondary Nice To Have Skills Not Mandatory
1 Azure Data Factory ADF
2 Microsoft Purview
3 Unity Catalog and Data Governance Frameworks
4 Snowflake Data Platform
5 Power BI and Semantic Modeling
6 Python PySpark
7 Data Mesh and Data Product Architecture
8 Insurance Financial Services or Data Modernization project experience
Soft Skills
1Strong stakeholder communication and requirement gathering skills
2 Ability to conduct data discovery workshops with business users
3 Excellent analytical and problemsolving capabilities
4 Strong documentation and presentation skills
5 Ability to work in AgileScrum teams
6 Selfdriven with ownership mindset and attention to detail
7 Collaboration and mentoring abilities across crossfunctional teams
Key Responsibilities
Design and maintain conceptual logical and physical data models for enterprise data platforms
Define data entities attributes relationships and business rules for Lakehouse implementations
Develop SourcetoTarget Mapping documents and support data migration activities
Collaborate with Data Architects and Engineering teams to design curated Silver and Gold layer data structures
Ensure data governance quality consistency and scalability across the platform
Support data modernization and cloud transformation initiatives
Participate in data model reviews architecture discussions and governance processes
3 Qualifying Questions
1 Can you explain a Databricks Lakehouse data model that you designed and how it supported Bronze Silver and Gold layer data curation
2 Describe a data modernization or migration project where you created sourcetotarget mappings and redesigned the target data model What challenges did you encounter
3 How would you model customer policy or transaction data to support both reporting and future AIML use cases while maintaining scalability and governance.
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Neha Chaudhary
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