Lead Data Engineer — Cloud, AI & DevSecOps

COUNTRY Financial®

Bloomington (IL)

On-site

USD 132,000 - 182,000

Full time

43 hours ago
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Job summary

COUNTRY Financial is seeking an experienced Data Solutions Architect to design, develop, and deliver enterprise data products that are scalable, secure, and governed. You will lead solution architecture artifacts and collaborate across Product Management, Architecture, Engineering, Security, and business stakeholders to translate capabilities into resilient data solutions.

Utilize cloud-native platforms, modern data frameworks, and AI-enabled tooling to drive operational, analytical, and

Qualifications

  • Minimum typically 10+ years of relevant experience in data engineering/architecture.
  • Experience designing scalable, secure data products and data models (ERD).
  • Proven ability to lead cross‑functional teams in SAFe Agile environments.
  • Strong collaboration with Product Management, Architecture, Engineering and Security.
  • Familiarity with cloud data platforms and analytics ecosystems.

Responsibilities

  • Designs, develops, and delivers enterprise data solutions across the organization.
  • Leads creation and maintenance of solution architecture artifacts and data models.
  • Collaborates with stakeholders to translate business capabilities into data solutions.
  • Applies DevSecOps practices across the solution lifecycle (CI/CD, IaC, testing, observability).
  • Supports governance, security controls, and data quality standards.

Skills

Data pipelines
Data modeling
Cloud platforms
DevSecOps
AI tooling

Education

Bachelor’s degree in a relevant field

Tools

SAFe
ETL/ELT tools

Job description

COUNTRY Financial is seeking an experienced Data Solutions Architect to design, develop, and deliver enterprise data products that are scalable, secure, and governed. You will lead solution architecture artifacts and collaborate across Product Management, Architecture, Engineering, Security, and business stakeholders to translate capabilities into resilient data solutions.

Utilize cloud-native platforms, modern data frameworks, and AI-enabled tooling to drive operational, analytical, and

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