Data Architect Jobs, Employment in Colorado Springs,CO Now Hiring September 2026

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Solution Architect

BOOZ, ALLEN & HAMILTON

Colorado Springs, CO 80918

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

8+ years of experience leading technical project delivery for large, complex organizations
8+ years of experience in network architecture and design
4+ years of experience with cybersecurity
Experience architecting Zero Trust solutions, roadmaps, and capabilities in alignment with industry standards, including NIST 800-207 and DoD Zero Trust Reference Architecture
Experience selecting, designing, and implementing security tools and capabilities for large, complex federal or commercial organizations
Experience leading product selection initiatives, including A & O, AI, analytics, secure DevOps, identify and access management, or network access control
Ability to work with and guide senior leaders, including CISO, CIO, and CTO, and executives to ideate, build, and execute cybersecurity capability maturation
TS/SCI clearance
Bachelor's degree
Ability to obtain a DoD 8140 or 8570 IAT Level II Certification within 6 months of start date

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Senior Digital Engineer – MBSE & Data Science

GXM Technologies LLC

Colorado Springs, CO 80901

OnsiteHealth InsurancePaid Time OffRetirement Benefit

U.S. Citizen with an active TS/SCI security clearance
Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline
5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines
Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms
Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation
Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization
Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools
Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results
Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts
Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data
Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment
Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments
Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills

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