Enterprise Data Architect for Scalable Data Platforms

ALTEN Technology USA; Washington (District of Columbia); On-site; USD 120,000 - 190,000; Full time

Job summary

ALTEN Technology USA is seeking an experienced Data Architect to design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The role requires collaboration across business and technical teams to ensure data exchange aligns with organizational goals.

The ideal candidate will bring strong expertise in data architecture, data governance, and documenting data models and integration patterns, with a track record of

Qualifications

• 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.
• Experience supporting data governance, data quality, and data lifecycle management is a strong plus.
• Ability to collaborate with business and technical teams to define scalable data solutions.

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.

Skills

Data architecture

Data management

Enterprise data solutions

Job description

ALTEN Technology USA is seeking an experienced Data Architect to design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The role requires collaboration across business and technical teams to ensure data exchange aligns with organizational goals.

The ideal candidate will bring strong expertise in data architecture, data governance, and documenting data models and integration patterns, with a track record of