Sr. Data Modeler

Sr. Data ModelerThe Sr. Data Modeler works directly with business stakeholders to design data and analytics capabilities that support business strategies and to develop the data models and structures that enable data-driven solutions. The Sr. Data Modeler develops data models and structures that can be used within the business to find data-driven solutions.Essential Functions:Work with business stakeholders to identify how data can be leveraged to improve decision making.Work with technology teams to analyze data requirements (functional and non-functional) and provide data architectural design solutions for business and technology initiatives.Assess the effectiveness and accuracy of data sources and data gathering techniques.Design data structures, data models, and data pipelines, leveraging the support of subject matter experts to deliver business intelligence/data science capabilities for the organization.Create data models at all levels, including conceptual, logical, and physical.Collaborate within an agile, multi-disciplinary team of data engineers, data analysts, UX designers, and Scrum Master to deliver solutions.Work with Data Scientists on optimizing batch and real-time processes for feature engineering, training models, and serving predictions.Research, promote, and develop data architecture best practices, guidelines, procedures, and scalable frameworks.Participate in architecture, governance, and design reviews.Participate in evaluations of existing and emerging analytical technologies and provide recommendations.Job Specifications:Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or related functional area; or equivalent experience.Excellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas to all levels of employees and management.6 years' experience working with end users in development of analytical capabilities.6 years of hands-on experience in the data space spanning data modeling, SQL-based database management systems, integration, ETL/data pipeline design, and data visualization.Expert-level SQL coding experience.For remote (Work From Home) or hybrid roles, must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment.Must Have Technical Skills:Advanced SQLData ModelingData Vault 2.0ER/StudioPython for Data AnalysisSnowflake Data WarehouseVaultSpeedWorking Conditions:The working environment is generally favorable. Lighting and temperature are adequate, and there are no hazardous or unpleasant conditions caused by noise, dust, etc.Note: The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not intended to be a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND123