Data Architect

Booz Allen Hamilton•Lorton, VA

About The Position

For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations and improved decision-making. As a data analytics professional, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for an experienced data architect like you to deliver leading-edge solutions in a defense-focused environment supporting enterprise operations, logistics, and mission readiness. As a data architect, you’ll use your technical expertise to design data architecture solutions for secure, cloud-based platforms, enterprise data integration frameworks, and scalable analytics environments supporting operational, supply chain, and lifecycle management systems. You’ll resolve data architecture-related issues in collaboration with business analysts and technology teams by analyzing requirements, defining scalable data models, and providing recommendations on data structures, storage strategies, and integration approaches. In this role, you’ll apply best practices and tools such as SQL, cloud-native database technologies, Amazon RDS, PostgreSQL, and modern data integration frameworks to design data models, database architectures, and enterprise data systems that enable analytics, reporting, and operational efficiency. You’ll assist in the design, development, and testing of cloud-based data solutions while serving as a liaison between stakeholders and development teams to ensure requirements are met and secure, scalable, and performant solutions are delivered. With your drive to establish processes and support technological innovation, you’ll make a lasting impact on defense and critical operations by enabling more secure, efficient, and data-driven decision-making across enterprise systems. Join us. The world can't wait.

Requirements

5+ years of experience in data architecture or data management
Experience in data modeling, database design, and data integration
Experience in database systems, such as SQL Server, Oracle, MongoDB, or PostgreSQL
Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud
Experience with data governance frameworks and compliance standards
Experience designing and implementing scalable data systems
Knowledge of ETL tools and processes, such as Informatica, Talend, or Alteryx
Secret clearance
Bachelor’s degree in Computer Science, Information Systems, or Data Science

Nice To Haves

Experience with big data technologies, such as Hadoop or Spark
Experience with Agile methodologies and project management tools, such as Jira or Trello
Knowledge of scripting languages, such as Python or R, for data manipulation and automation
Top Secret clearance
Master’s degree in Computer Science, Information Systems, or Data Science
Data architecture or cloud platforms, such as AWS Certified Data Analytics or Google Cloud Certified Data Engineer Certification

Responsibilities

Design data architecture solutions for secure, cloud-based platforms, enterprise data integration frameworks, and scalable analytics environments supporting operational, supply chain, and lifecycle management systems.
Resolve data architecture-related issues in collaboration with business analysts and technology teams by analyzing requirements, defining scalable data models, and providing recommendations on data structures, storage strategies, and integration approaches.
Apply best practices and tools such as SQL, cloud-native database technologies, Amazon RDS, PostgreSQL, and modern data integration frameworks to design data models, database architectures, and enterprise data systems that enable analytics, reporting, and operational efficiency.
Assist in the design, development, and testing of cloud-based data solutions.
Serve as a liaison between stakeholders and development teams to ensure requirements are met and secure, scalable, and performant solutions are delivered.