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Data Architect and Solutions Engineer

Job in Greenbelt, Prince George's County, Maryland, 20771, USA
Listing for: Nutanix
Full Time position
Listed on 2025-12-06
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space—delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators.

Join us and take your place in space.

Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies with expertise in cyber security, software architecture, software engineering, data science, artificial intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our intelligence community, DoD, and civilian customers.

The Data Platforms and Architectures Department in ISCD is at the forefront of developing cutting-edge data architectures and solutions. Our mission is to empower various civil and national security space customers with cutting-edge data architectures enabling them to build multi-domain, data-centric organizations through excellence in data management, orchestration, integration and fusion, and cloud development. Join us as a Data Architect and Solutions Engineer to lead, innovate, and build next generation, enterprise, scalable, and resilient data solutions.

This is a full-time position based in Chantilly, VA, which requires 100% onsite work.

What You’ll Be Doing
  • Collaborating closely with National Security Space, United States Space Force, and other Department of Defense customers.
  • Providing advanced data architecture and engineering designs and solutions for the space enterprise.
  • Leading the development of highly resilient and efficient data architectures, platforms, and solutions that are central to both current and future information systems.
  • Supporting our customers by managing rapidly growing data volumes with innovative data platforms.
  • Adapting duties, responsibilities, and activities as needed to meet evolving organizational requirements.
  • Driving increased velocity and innovation for Aerospace and our customers through the development of these data solutions.
What You Need to be Successful

Minimum Requirements:

  • Bachelor’s or advanced degree in Computer Science or a related STEM field from an accredited institution.
  • 8+ years of professional experience in data engineering and architecture roles.
  • Intermediate to advanced proficiency in a programming language such as Python, C/C++, Java, etc.
  • Expertise in modern data architectures, paradigms, solutions, and platforms (e.g., data lakehouse, data fabric, data mesh).
  • Experience in enterprise data management systems, data operations, integration and fusion.
  • Experience with cloud-native application development and deployment.
  • Familiarity with cloud technologies and platforms (e.g., AWS, Azure, Platform One).
  • Experience in back-end and middleware development.
  • Willing to travel occasionally to work location or customer site domestically/internationally if required.
  • This position requires the ability to obtain and maintain a security clearance. U.S. citizenship is required to obtain a security clearance.
How You Can Stand Out

It would be impressive if you have one or more of these:

  • Advanced degree (Masters or PhD) in Computer Science or a related STEM field.
  • Demonstrated expertise in data architectures and developing platforms for multi-domain enterprise organizations.
  • Proficiency in data security, management, governance, orchestration, integration and fusion, virtualization, and access.
  • Knowledge of knowledge graphs, and ontologies.
  • Proficiency in microservices and cloud architectures.
  • Strong familiarity with Kubernetes, Docker, and similar technologies.
  • Familiarity with latest AI advancements in data management, governance, and operations.
  • Strong technical leadership skills.
Leadership Competencies

Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate…

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