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Enterprise Data Modeler Databricks
Career Insights for Data Scientist
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Scorecard
Based on Ohio data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$105,235 / year median in Ohio
+16% projected growth
Job Description
Enterprise Data Modeler Databricks Proteam Solutions - 4.8 Dublin, OH Job Details 7 days ago Qualifications Databricks Cloud data warehouses Data quality assurance Schema design Data quality management Data Architecture Design (Architecture design skills) Entity-relationship diagrams Stakeholder relationship building Metadata management Dimensional modeling Metadata creation Stakeholder management Full Job Description Position Summary We are seeking an experienced Enterprise Data Modeler with deep expertise in Databricks and modern cloud data platforms. This role will focus on designing scalable enterprise data models that support analytics, governance, and business intelligence initiatives across multiple business domains. The ideal candidate understands Medallion Architecture, dimensional modeling, enterprise data standards, and modern lakehouse architectures. Key Responsibilities Design conceptual, logical, and physical enterprise data models. Develop scalable models supporting cross-functional business domains. Establish enterprise data modeling standards and naming conventions. Collaborate with business stakeholders to translate requirements into scalable data models. Ensure alignment with enterprise data architecture and governance standards. Integrate metadata, lineage, and data quality principles into model designs. Partner with Data Engineers implementing solutions within Databricks. Support enterprise analytics initiatives across cloud data platforms. Required Qualifications Strong expertise in enterprise data modeling. Hands-on experience with Databricks and Medallion Architecture. Experience designing conceptual, logical, and physical data models. Strong knowledge of Snowflake or similar cloud data warehouse platforms. Experience with ERwin, ER/Studio, or comparable data modeling tools. Knowledge of dimensional modeling (Kimball). Experience with Data Vault methodologies. Strong understanding of metadata, lineage, governance, and data quality. Preferred Qualifications Experience with enterprise architecture frameworks. Knowledge of Azure, AWS, or Google Cloud. Experience supporting enterprise data governance programs. Strong communication and stakeholder management skills. Experience modeling across multiple enterprise business domains. #LI-WJ1 #PSI2