Data Modeler

Job DetailExperience Level Sr LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000019381Salary Type AnnuallyIndustry Financial Services;Private EquitySelling Points Shape enterprise-wide data architecture using cutting-edge technologies and methodologies. Collaborate with stakeholders to deliver scalable, efficient, and impactful data solutions. Competitive compensation and professional growth opportunities.Job DescriptionOverviewDesign and implement enterprise-wide data architecture aligned with business objectives and data program goals.Develop scalable, efficient, and real-time data models within a Delta Lakehouse architecture.Collaborate with stakeholders to understand data needs and ensure alignment with business objectives.Leverage modern data modeling principles to drive business intelligence and analytics.Work with cutting-edge technologies like Microsoft Fabric and Medallion Architecture.Enhance data governance practices, including metadata management and data quality assurance.Define and maintain canonical data models for consistency across the organization.Contribute to the development of enterprise data management practices and standards.Key Responsibilities & DutiesDesign and develop enterprise data models for analytics and operational reporting.Implement best practices for data modeling in a lakehouse environment.Collaborate with data engineers to create optimized physical data models.Develop frameworks for data governance, including lineage tracking and quality assurance.Guide ETL/ELT strategies for data integrity and performance optimization.Review and enhance existing data models for improved performance and alignment.Advise on data modeling tools and management solutions.Document and enforce data modeling standards across engineering teams.Job RequirementsBachelor of Science (BS) degree in a relevant field.7+ years of experience in data architecture, modeling, or database design.Expertise in data modeling methodologies, including Star Schema, Snowflake Schema, and Data Vault.Proficiency in relational and non-relational databases, SQL, and Delta Lake architecture.Familiarity with Microsoft Fabric and Medallion Architecture.Strong SQL skills for query optimization and data analysis.Experience with ETL/ELT processes and integration strategies.Preferred experience with data governance tools and machine learning feature stores.