Data Architecture Engineer​/Python, SQL

Minimum Qualifications

• Minimum of 5 years of relevant experience with a BS/BA degree; or 3 years of relevant experience with MS/MA.
• Experience with development and implementation of enterprise-level data pipelines.
• Strong Python and SQL skills.
• Demonstrated creative thinker with a mission-minded focus.
• Must possess a collaborative, team-oriented mindset.
• Ability to persist in a fast-paced, dynamic environment.
• Demonstrated excellent oral and written communication skills.
• U.S. citizenship required.
• Ability to obtain and maintain a DoD Secret clearance (interim clearance required to commence task work).

• Active DoD Secret Clearance.
• Experience with Advana and/or Data Bricks.

Peraton is seeking to hire an experienced Data Architecture Engineer.

Location:

Remote; ability to come on-site when and as needed.

USTRANSCOM is seeking a forward-thinking Data Architecture Engineer to help develop a robust data infrastructure that supports global military logistics and strategic decision-making. As part of the JDPAC team, you’ll play a pivotal role in transforming fragmented data into actionable intelligence that powers the Joint Force.

This is more than a technical role—it’s an opportunity to shape national defense operations through data innovation.

• Design, develop, validate, and update data schemas and ontologies to support the DPMO platform’s transition into the Advana environment.
• Optimize data flows from multiple sources into a distributed storage framework using efficient, scalable processing techniques.
• Implement scalable solutions capable of handling large volumes of structured and unstructured data.
• Conduct validation testing to ensure data completeness, accuracy, and proper transformation based on business rules.
• Confirm that integrated data meets business usability standards.
• Establish and maintain data health checks, alerts, and automated tests to ensure ongoing accuracy and consistency.
• Support senior data engineers in post-integration efforts and continuous improvement initiatives.

• A strong background in database architecture, data modeling, and distributed systems.
• Experience with data validation, transformation, and integration across secure environments.
• Familiarity with defense data platforms and cloud-based analytics environments (e.g., Advana).
• Excellent problem-solving and collaboration skills.