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Sr. Data Modeler

Job in Montpelier, Washington County, Vermont, 05604, USA
Listing for: National Life Group
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Data Scientist
Job Description & How to Apply Below

6 days ago Be among the first 25 applicants

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. The role will be key to creating models for several layers of our enterprise data platform, defining end‑to‑end data lineage, participating in data engineering design reviews, collaborating with all stakeholders, and taking complete ownership in establishing a highly performant data platform for the organization.

Essential

Duties And 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.
Minimum Qualifications
  • 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.
  • Domain experience in life insurance, annuities, or related financial services preferred.
  • Excellent communication skills and ability to work in agile environments.
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!
Base Pay Range

The base pay range for this position is the range National Life reasonably and in good faith expects to pay for the position taking into account the wide variety of factors, including: prior experience and job‑related knowledge; education, training and certificates; current business needs; and market factors. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances.

Additional

Compensation and Benefits

The total compensation package for this position may also include a full…

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