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Data Architect

Remote / Online - Candidates ideally in
Little Rock, Pulaski County, Arkansas, 72208, USA
Listing for: USAble Life
Remote/Work from Home position
Listed on 2026-02-09
Job specializations:
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below

Overview

When it comes to making a meaningful difference in the lives of our customers and employees, USAble Life is always ready. We are a diverse group of individuals working together to go the extra mile. Through our DEI initiatives, employees feel empowered to bring their talents and voice to our culture.

Our passion for delivering the best products is matched only by our passion for our people. We are committed to making a meaningful difference in the lives of others which extends beyond our office walls. USAble Life has a long tradition of supporting our communities, and we re proud of the fact that our employees share that commitment.

We have been recognized as a "Best Places to Work" in Arkansas, Florida, and Hawaii. You ll be rewarded with opportunities for personal and professional development and opportunities for advancement. This, coupled with our engaging culture and a comprehensive benefits package, ensures we are committed to our employees.

Check out how we make a meaningful difference in the lives of others!

This is a remote position.

What We Offer You:

  • A culture that values employees and celebrates, empowers, and inspires a diverse workforce
  • Outstanding and affordable benefits package
  • PTO provided at date of hire
  • 11 paid holidays
  • 401(k) with up to 6% match; fully vested from day 1
  • Remote opportunities with company-provided equipment
  • Team-oriented, collaborative group of peers
  • Career advancement opportunities
  • Tuition Reimbursement
  • Employee Assistance Program
  • Inclusion Council and Employee Resource Groups
  • Recharge Days and Volunteer Time Off

Life Takes You Places! Are you ready to join us?

The base salary range for the Data Architect is 109,000 to 196,000. Actual salaries will vary by geographic location and are based on factors such as candidate s qualifications, experience, skills, competencies, and company tenure & equity. In addition to base compensation, this role is eligible for an annual incentive plan based on company performance and individual performance.

Data Architect Overview

The Data Architect is a critical role which leads the modernization of our data ecosystem and shapes the longterm data strategy that will support organizational growth, improve data quality, and elevate analytics capabilities. This role will design and implement modern data pipelines, build the foundational platforms including an Operational Data Store (ODS) and Enterprise Data Warehouse (DW) and ensure our business teams have access to trustworthy, well governed, and high performing data for reporting and analytics.

Additionally, this role will champion data governance best practices, and ensure our business teams have trusted, efficient, and scalable data to power informed decision making. This role is highly visible and hands-on and partners closely across the business and has an enterprise-level impact.

Essential Duties

Data Strategy & Architecture

  • Develop and maintain the enterprise data architecture roadmap aligned with business goals
  • Lead the design and implementation of the enterprise Operational Data Store (ODS) and a Data Warehouse (DW), ensuring scalable, governed, secure, and business aligned data platforms
  • Define & contribute to standards for data modeling, data integration, data quality, and metadata management
  • Architect scalable solutions spanning data ingestion, transformation, storage, and consumption
  • Partner with IT, analytics, and business stakeholders to align architecture with operational needs and growth plans

Data Pipeline Modernization

  • Design and deliver modern, automated, and resilient data pipelines (batch and realtime) that feed the ODS, DW, and downstream analytics environments
  • Evaluate current systems and plan the migration from legacy data processes to modern hybrid and/or cloud-based architectures
  • Ensure pipelines are optimized for performance, maintainability, and data quality
  • Establish standards and frameworks for orchestration, monitoring, and version control
  • Optimize data ingestion and transformation processes to meet SLAs for operational and analytical reporting

Data Governance, Quality & Security

  • Embed data governance, security controls, and quality validation rules throughout pipeline and…
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