Data Architect & Cloud Solutions Engineer for Space & AI

The Aerospace Corporation; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Relocation assistance

Education assistance

Professional growth programs

Job summary

The Aerospace Corporation seeks a Data Architect and Solutions Engineer to lead, innovate, and build enterprise data solutions essential to national security space programs. This full-time, on-site role supports DoD and IC customers across cloud and on-premise environments.

You will design resilient data architectures, manage growing data volumes, and collaborate with cross-functional teams to deliver scalable platforms using Kubernetes, Docker, and other modern technologies. U.S.

Qualifications

• Sr Member of Technical Staff with leadership experience.
• BS or advanced degree in Computer Science or related STEM field.
• 5+ years of professional experience in software development, data engineering, or similar technical specializations.

Responsibilities

• Collaborate with National Security Space and DoD customers.
• Provide advanced data architecture and engineering designs for space enterprise.
• Lead development of resilient data architectures and platforms.
• Support customers by managing growing data volumes with innovative platforms.
• Lead and coordinate multi-functional teams to deploy prototypes and internal enterprise applications using public and private cloud.

Skills

Data architecture

Cloud-native development

Python

C/C++

Java

Kubernetes

Docker

Security clearance

Education

Bachelor’s or advanced degree in Computer Science or related STEM field

Tools

Kubernetes

Docker

Helm

Palantir Foundry

Job description

The Aerospace Corporation seeks a Data Architect and Solutions Engineer to lead, innovate, and build enterprise data solutions essential to national security space programs. This full-time, on-site role supports DoD and IC customers across cloud and on-premise environments.

You will design resilient data architectures, manage growing data volumes, and collaborate with cross-functional teams to deliver scalable platforms using Kubernetes, Docker, and other modern technologies. U.S.