Sr. Data Modeler

National Life Insurance Company • Addison, TX

2d

About The Position

Come join one of America’s fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures. Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard. We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. Please note that we do not offer visa sponsorship for this position. We are seeking highly skilled individuals to join our Enterprise Data Architecture practice. In this role, you will design high-quality domain (canonical) data models, consumption-layer dimensional models, and drive data architecture and governance standards across our enterprise data platform. You will collaborate with business and technical stakeholders to define, document, and govern how data flows across the organization – supporting analytics, reporting, operational use cases, and advanced data science initiatives. This role is ideal for professionals who enjoy hands-on solution designing, driving best practices, and shaping the long-term data architectural foundation for a modern and fast-growing life insurance and annuities organization. This role will be key to create models for several layers of our enterprise data platform, define end to end data lineage, participate in data engineering design reviews, collaborate with all stakeholders, and take complete ownership in establishing a highly performant data platform for the organization.

Requirements

• Bachelor’s degree in STEM preferred; advanced degree is a plus.
• 5–10+ years in data architecture, data modeling, or enterprise analytics.
• Strong experience with canonical/domain modeling, dimensional modeling, and semantic modeling.
• Proficiency in SQL and familiarity with Azure Databricks (Delta Lake, Unity Catalog).
• Experience with data modeling tools (Erwin, ER/Studio) and metadata management platforms (Purview, Collibra, Alation).
• Knowledge of data governance, master/reference data concepts, and privacy/security controls.
• Excellent communication skills and ability to work in agile environments.

Nice To Haves

• Domain experience in life insurance, annuities, or related financial services preferred.

Responsibilities

• Design and maintain conceptual, logical, and physical data models aligned with business capabilities.
• Build consumption-layer models for analytics, BI, and machine learning.
• Define and enforce modeling standards, naming conventions, and data governance practices.
• Document data lineage, transformation logic, and metadata using enterprise tools.
• Collaborate with Data Engineers, Analytics, and Data Science teams to implement models and optimize performance.
• Analyze source data quality, recommend cleansing solutions, and support data quality frameworks.
• Stay current with industry standards and emerging practices (ACORD, DAMA-DMBOK, Data Vault, Kimball, Data Mesh).
• Contribute to agile delivery and produce architecture deliverables within sprint timelines

Benefits

• Your benefits start day one and are flexible and customizable to your and your family’s specific needs.
• Check out the BENEFITS of a Career at National Life !

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees