National Life Group
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Sr. Data Modeler
role at
National Life Group .
Our mission extends beyond the insurance and annuities policies we offer. We strive to make the world a better place through charitable grants, volunteer time, environmental sustainability, and community events that promote nonprofit work.
Overview You will join our Enterprise Data Architecture practice, designing high‑quality domain (canonical) data models, consumption‑layer dimensional models, and driving data architecture and governance standards across the enterprise data platform. The role requires collaborating with business and technical stakeholders to define data flows that support analytics, reporting, operational use cases, and advanced data science initiatives.
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.
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
Benefits start day one and are flexible and customizable to your and your family’s specific needs.
Medical, dental, vision, 401(k) eligibility, and paid time off (vacation, sick leave, parental leave).
Eligibility to participate in discretionary annual incentive programs.
Compensation Base Pay Range
$120,000 – $176,000 USD. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances. National Life reserves the right to modify base salary and other discretionary payments at any time.
Additional Compensation
The total compensation package may include a full range of benefits, including 401(k) eligibility, paid time off, and discretionary incentive programs subject to the rules governing such programs.
Visa sponsorship is not offered for this position.
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Sr. Data Modeler
role at
National Life Group .
Our mission extends beyond the insurance and annuities policies we offer. We strive to make the world a better place through charitable grants, volunteer time, environmental sustainability, and community events that promote nonprofit work.
Overview You will join our Enterprise Data Architecture practice, designing high‑quality domain (canonical) data models, consumption‑layer dimensional models, and driving data architecture and governance standards across the enterprise data platform. The role requires collaborating with business and technical stakeholders to define data flows that support analytics, reporting, operational use cases, and advanced data science initiatives.
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.
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
Benefits start day one and are flexible and customizable to your and your family’s specific needs.
Medical, dental, vision, 401(k) eligibility, and paid time off (vacation, sick leave, parental leave).
Eligibility to participate in discretionary annual incentive programs.
Compensation Base Pay Range
$120,000 – $176,000 USD. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances. National Life reserves the right to modify base salary and other discretionary payments at any time.
Additional Compensation
The total compensation package may include a full range of benefits, including 401(k) eligibility, paid time off, and discretionary incentive programs subject to the rules governing such programs.
Visa sponsorship is not offered for this position.
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