avature
Senior Data Modeler (DW/ Databricks)
MetLife
Bridgewater, USA
Full-time
Senior · 5+ years experience
Hybrid
USD 115000-154000 yearly / year
Discovered 1 weeks ago
DatabricksDelta LakeUnity CatalogAzure SynapseDatabricks SQLErwin
Free
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DatabricksDelta LakeUnity Catalog
Key Skills for This Role
DatabricksDelta LakeUnity CatalogAzure SynapseDatabricks SQLErwin
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Description and Requirements
- At MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data - one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business - you’re empowering it. Let’s transform insight into impact and data into action, together.
Description and Requirements
- The Senior Data Modeler is responsible for translating business requirements into scalable conceptual, logical, and physical data models that support production-grade data and analytics solutions across MetLife’s global Data & Analytics organization. This is an exciting opportunity to bring advanced data modeling expertise to enterprise-wide initiatives, working closely as part of a cross-functional team to build dimensional models directly within Databricks.
Description and Requirements
- Translate business requirements into scalable conceptual, logical, and physical data model designs, including dimensional (star and snowflake) schemas built and deployed within Databricks Lakehouse environments
- Develop and optimize dimensional data models, data dictionaries, ER diagrams, and metadata/data catalog assets for performance, scalability, and deployment across on-premises and cloud platforms (Azure Synapse, Databricks, Delta Lake, Unity Catalog)
- Perform data profiling, validation, and lineage analysis to ensure model accuracy, consistency, and adherence to enterprise and industry-standard modeling best practices
- Contribute to design, solutioning, and estimation efforts for complex, enterprise-wide data initiatives as part of a collaborative data modeling team
- Collaborate with partners across Business, Technology, Operations, and Data & Analytics capabilities, including Data Governance, Data Quality, Data Architecture, Data Science, DevOps, and BI & Insights
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