Enterprise Data Architect: Build Scalable Data Lakes & Flows

Altenusa; Mobile (AL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

ALTEN Technology USA is seeking an experienced Data Architect to design and support scalable enterprise data solutions across our client projects. You will define data architecture strategies, design data flows, and collaborate with business, IT, and engineering teams to ensure seamless data exchange and governance.

The role focuses on data lakes, central repositories, and modern data platforms, with emphasis on data quality and lifecycle management.

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

Data lakes

Data governance

Data quality

Collaboration across teams

Job description

ALTEN Technology USA is seeking an experienced Data Architect to design and support scalable enterprise data solutions across our client projects. You will define data architecture strategies, design data flows, and collaborate with business, IT, and engineering teams to ensure seamless data exchange and governance.

The role focuses on data lakes, central repositories, and modern data platforms, with emphasis on data quality and lifecycle management.