New

Data Architect

USAble Life
life insurance, paid holidays, tuition reimbursement, 401(k)
United States, Arkansas, Little Rock
17500 Chenal Parkway (Show on map)
Feb 06, 2026
Description 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! https://player.vimeo.com/video/518665804 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 This is a remote position. 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, wellgoverned, and highperforming 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 decisionmaking. This role is highly visible and handson 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 businessaligned 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 platform designs Collaborate with the Data Governance team to implement enterprise data standards, documentation, and stewardship practices Contribute to the design of data quality frameworks and ensure validation rules are embedded into pipelines Support metadata management, lineage tracking, and cataloging initiatives Ensure architectural decisions maintain compliance with regulatory, privacy, and data protection requirements Business Partnership & Enablement Collaborate closely with business leaders, data stewards, and analysts to understand data needs and translate them into scalable technical solutions Promote data fluency and best practices across all levels of the organization Serve as a trusted advisor on data design, integration, and analytics optimization Technology & Innovation Evaluate and recommend modern data platforms, tools, and architectures aligned with our size and growth trajectory (e.g., cloud data platforms, realtime streaming solutions) Stay current on emerging technologies related to cloud data platforms, AI/ML readiness, and data governance automation Lead or support vendor evaluations for data tooling Performs other related duties and responsibilities as assigned Required Knowledge, Skills and Abilities: Deep understanding of data architecture and modern data engineering principles, including data modeling, integration patterns, scalable platform design, and data pipeline development, rather than general applicationlevel software engineering Strong understanding of insurance industry practices and enterprise data ecosystems, with the ability to identify how data platforms, analytics, and information architecture enable business value, operational efficiency, and informed decisionmaking Excellent verbal, written, and presentation skills, with the ability to clearly communicate complex data and architectural concepts to data engineers, analysts, product owners, business leaders, and technical partners Familiarity with automated data platforms and the data lifecycle, including Agile delivery models, data engineering workflows, and integration with broader SDLC practices, ensuring architectural alignment without requiring deep application development ownership Ability to quickly understand business processes and the data that supports them, including upstream source systems, downstream analytics and reporting dependencies, and endtoend data flows across the enterprise. Proven ability to prioritize architectural initiatives, manage multiple data modernization efforts concurrently, and deliver durable, scalable solutions that meet operational and analytical needs within established timelines Strong leadership, collaboration, and influencing skills, with a demonstrated ability to guide data engineering practices, influence platform standards, and mentor technical peers without formal peoplemanagement responsibility Experience evaluating and recommending modern data platforms, tools, and architectures, including cloudbased data ecosystems, integration technologies, and analytics enablement solutions aligned to organizational growth and strategy Comfort working in hybrid or remote environments, effectively collaborating across distributed teams and maintaining strong architectural alignment, documentation, and communication standards Understanding of regulatory, compliance, and data protection standards, such as HIPAA, SOX, and internal audit controls, and how they influence data architecture, data governance, security design, and platform decisions. Strategic thinker with strong architectural discipline Handson builder who enjoys creating scalable solutions Collaborative partner comfortable working across functions Clear, concise communicator capable of simplifying complex topics Advocates for data quality, governance, and datadriven decisionmaking Required Education and Experience: Bachelor's Degree in related field - or equivalent military experience 5-8+ years of experience in data architecture, data engineering, or related fields Proven experience designing and building cloudbased data platforms (Azure, AWS, GCP, or Snowflake, etc.) 8+ years of IT experience Proficiency with modern data processing technologies Handson experience designing ODS and/or DW solutions Demonstrated experience building and maintaining ETL/ELT pipelines Solid understanding of data modeling techniques Experience with data governance concepts Ability to translate complex technical topics into clear language Preferred Education and Experience: Experience with a BlueCross BlueShield Plan or other health and/or life insurance-related company Experience in designing new data capabilities from the ground up. Knowledge of Master Data Management (MDM) principles and practices. Experience supporting analytics, BI tools, and self-service data ecosystems. Exposure to regulated data environments. Working Conditions (Physical Demands): Normal, no adverse or hazardous conditions #USAL2 Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.