Data Modeler

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

We are looking for an experienced, hands-onData Modeler to design, develop, and maintain scalable data models that support enterprise data, analytics, and reporting needs.

The Data Modeler will work across data warehouses, data marts, and BI environments, with a focus onSnowflake and AWS. This role will collaborate with data engineering, analytics, BI, and business teams to translate business and technical requirements into logical and physical data models that enable reliable, consistent, and efficient data consumption.

What You Will Do

• Design, develop, and maintainconceptual, logical, and physical data models to support data warehouse, data mart, analytics, and reporting solutions.
• Develop and optimizedimensional and relational data models within Snowflake.
• Translate business and technical requirements into clearly defined data entities, attributes, relationships, and structures.
• Apply data warehouse and dimensional modeling principles to support reporting, analytics, semantic layers, and downstream data consumption.
• Collaborate with data engineers, BI developers, analysts, and business stakeholders to understand data requirements and develop scalable data models.
• Partner with data engineering teams to ensure data models align with ETL/ELT processes, source data structures, and data integration requirements.
• Review existing data models and recommend improvements to data quality, consistency, performance, scalability, and maintainability.
• Define and applydata modeling standards, naming conventions, and reusable modeling patterns across data solutions.
• Supportmetadata management, data lineage, data governance, and data quality initiatives.
• Create and maintain documentation for data models, entities, relationships, metadata, and data definitions.
• Participate in data model reviews and contribute to data architecture and modeling best practices.
• Support data solutions acrossSnowflake and AWS environments.
• Troubleshoot data-related issues and collaborate with technical teams to identify root causes and appropriate solutions.
• Participate in SDLC and Agile development activities and use JIRA to support work tracking and delivery.

What You Will Bring

• 3+ years of experience in data modeling, data warehousing, data engineering, or a related data field.
• Bachelor’s degree in Computer Science or a related field such as Information Systems, Mathematics, or Software Engineering.
• Hands-on experience designingconceptual, logical, and physical data models.
• Strong understanding ofdimensional modeling, relational database design, and entity-relationship (ER) modeling.
• Hands-on experience withSnowflake.
• Strong proficiency inSQL and relational database concepts.
• Experience withdata modeling tools such as ERwin, ER/Studio, or similar platforms.
• Experience working withdata warehouses, data marts, semantic layers, and data consumption patterns.
• Experience with or knowledge ofAWS cloud platforms and associated services.
• Knowledge ofETL/ELT methodologies and data integration concepts.
• Understanding ofmetadata management, data lineage, data governance, and data quality concepts.
• Understanding of data modeling standards, naming conventions, data definitions, and documentation practices.
• Experience working withinSDLC and Agile methodologies.
• Experience usingJIRA in an Agile development environment.
• Strong analytical and problem-solving skills with the ability to troubleshoot data-related issues.
• Strong written and verbal communication skills with the ability to collaborate effectively with technical and business stakeholders.

What Will Set You Apart

• Experience in thefinancial services industry or another highly regulated industry.
• Experience withDBT and modern data transformation practices.
• Experience withAirflow or other workflow orchestration technologies.
• Experience withPython for data processing or automation.
• Experience with Big Data technologies such asHadoop or Spark.
• Experience supporting production-grade data platforms.
• Experience developing or supportingsemantic data models for BI and analytics applications.
• Experience implementingmetadata management, data lineage, data governance, or data quality frameworks.
• Experience establishing or contributing to enterprisedata modeling standards, naming conventions, and reusable modeling patterns.

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.