Data Architect

ALTEN Technology•Herndon, VA

20d

About The Position

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy.

Requirements

Strong experience in data architecture, data management, and enterprise data solutions.
Experience designing data flows, application integrations, and functional interfaces between systems.
Knowledge of data lakes, centralized repositories, and modern data platforms.
Ability to collaborate with business and technical teams to define scalable data solutions.

Nice To Haves

Experience supporting data governance, data quality, and data lifecycle management is a strong plus.

Responsibilities

Define and support data architecture strategies across enterprise applications.
Design data flows and integrations between business systems and applications.
Support the development and evolution of data lakes and central data repositories.
Collaborate with application, business, and technology teams to ensure effective data exchange.
Document data models, architecture decisions, and integration patterns.
Identify opportunities to improve data accessibility, quality, and usage across the organization.