Digital Engineering Architect - Data & Workflows

ARCTOS; Dayton, Northern (OH, KY); Hybrid; USD 110,000 - 135,000; Full time

Benefits offered by this job

401(k) Retirement Plan with Company M

Health Insurance & HSA

Dental & Vision Insurance

Company Paid Life Insurance, AD&D and短

Paid Time Off, Volunteer Time Off

Employee Assistance Program

Job summary

ARCTOS Technology Solutions, LLC seeks an experienced engineer to lead the development of a next‑generation Digital Engineering Environment that unifies experimental test data, computational models, and engineering workflows into a scalable digital thread for reusable hypersonic systems.

You will work with experimentalists and modeling personnel to translate workflows into a robust ecosystem that enables data traceability, model validation, reproducibility, and engineering decision support.

Qualifications

• Strong background in mechanical, aerospace, systems, or computational engineering.
• Experience with experimental data, modeling, and digital engineering workflows.
• Knowledge of data architectures, validation, and verification for engineering data.

Responsibilities

• Develop the overall architecture for a layered Digital Engineering Environment integrating test data, simulation models, metadata, workflows, and engineering knowledge.
• Collaborate with modeling and experimental engineers to map workflows, data products, and processes.
• Design and implement the initial engineering data model, metadata schema, naming conventions, and version-control strategy.
• Develop automated pipelines for ingesting, organizing, processing, and managing experimental and simulation data.
• Establish interfaces between test data, finite element models, computational workflows, and applications.
• Create digital threads linking requirements, configurations, tests, analyses, and certification evidence.
• Prototype dashboards and engineering apps to visualize, search, and correlate data.
• Evaluate technologies (Azure, Teamcenter, Aras, Palantir) and plan integration aligned with program goals.

Skills

Python

SQL

REST APIs

Git

Data pipelines

Large datasets

Data management

Education

MS/PhD in Mechanical Eng or related field

Tools

Azure

Teamcenter

Palantir

AWS

Google Cloud

Job description

ARCTOS Technology Solutions, LLC seeks an experienced engineer to lead the development of a next‑generation Digital Engineering Environment that unifies experimental test data, computational models, and engineering workflows into a scalable digital thread for reusable hypersonic systems.

You will work with experimentalists and modeling personnel to translate workflows into a robust ecosystem that enables data traceability, model validation, reproducibility, and engineering decision support.