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AmeriLife

Enterprise Data Architect

Reposted 11 Days Ago
In-Office or Remote
Hiring Remotely in IN
Mid level
In-Office or Remote
Hiring Remotely in IN
Mid level
The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.
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Our Company

Explore how you can contribute at AmeriLife.

For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement.

Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry.

Job Summary

We are seeking an Enterprise Data Architect who is deeply passionate about the craft of data architecture and building well-structured, scalable data systems. This role will define the architecture and modeling standards for AmeriLife’s modern enterprise data platform built on Databricks and Lakehouse architecture.
The ideal candidate brings deep expertise in data relationships, enterprise data modeling, and source-to-target data mapping, with the ability to translate complex business processes into scalable and high-performing data models that support analytics, AI, and operational systems.

Job Description

Key Responsibilities

  • Define and lead the enterprise data architecture for the modern data platform
  • Design scalable data models supporting analytics, reporting, and AI workloads
  • Lead data mapping initiatives between source systems and target data models
  • Design strong data relationships and schema structures
  • Implement Data Vault 2.0 modeling frameworks
  • Design robust dimensional models (star and snowflake schemas)
  • Establish enterprise data modeling, governance, and metadata standards
  • Partner closely with data engineering teams to translate architecture into production pipelines

Core Technical Skills

  • Expert-level SQL skills
  • Strong expertise in data modeling and schema design
  • Deep knowledge of Data Vault 2.0
  • Strong experience with dimensional modeling
  • Experience designing complex data relationships and normalized data models
  • Experience with Databricks, Spark, or modern cloud data platforms

Additional Expectations

  • Passion for data architecture and modeling
  • Excellent communication and collaboration skills
  • Ability to work closely with engineering, analytics, and business teams

Bonus Qualifications

  • Databricks certification
  • AWS or Azure cloud certification
  • Certified Data Vault 2.0 practitioner

Compensation

  • Salary Range: $160,000 to $190,000
  • This role may be eligible for a discretionary annual bonus.
  • Salary offers will vary commensurate with experience, education, skills, and training 

What AmeriLife Offers

A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive.


Americans with Disabilities Act (ADA) Statement

We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at [email protected].


Pay Transparency Statement

We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request.


Background Screening Statement

Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.


Top Skills

AWS
Azure
Data Vault 2.0
Databricks
Spark
SQL

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