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Data Architect - Clearance Required

Job in Shiloh, St. Clair County, Illinois, USA
Listing for: LMI Government Consulting
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 76390 - 130605 USD Yearly USD 76390.00 130605.00 YEAR
Job Description & How to Apply Below

Overview

LMI is currently seeking a
Data Architect
to analyze, manage, and provide insights from organizational databases across USTRANSCOM, located at Scott AFB, IL. This
** on-site position
** requires a combination of robust data management expertise and advanced analytical skills to design and implement efficient data systems while uncovering actionable insights that drive strategic decision-making.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, health-care, and energy sectors—helping agencies navigate complexity and out-pace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

We offer a generous compensation package with excellent benefits that start the first day of employment.

Come join the organization consistently recognized as a top workplace!

Responsibilities

The Data Architect will play a key role in the
** design, development, and management
** of mission-critical databases and data management strategies. The selected candidate will utilize advanced
** data architecture methodologies
** to design and maintain relational databases and support data-driven decision-making processes. Additionally, they will apply data systems expertise to provide actionable insights into trends, address operational challenges, and support federal initiatives.

  • Design and manage databases
    to ensure efficient data storage, retrieval, and reporting.
  • Develop and implement
    strategies for data acquisition, integration, and recovery
    to support organizational needs.
  • Translate business needs into
    long-term data architecture solutions
    and operate in a data warehouse environment.
  • Analyze data to uncover
    trends, patterns, and insights
    that drive decision-making and address operational challenges.
  • Evaluate and integrate
    hardware/software platforms
    while optimizing data models, systems, and workflows.
Qualifications

To be considered for this role, candidates must meet the following:

- Bachelor's Degree in
** Data Science, Information Computer Science, Data Analytics, Computer Science, or a related field of study.

- Active Secret clearance** (preferred) or ability to obtain one (required).

- Proven experience in database design, data management, and analytics.

- Experience working within data tools.

- Proficiency in designing dimensional data dashboards and advanced object/data modeling.

- Exceptional
** analytical and problem-solving
** skills, with the ability to translate complex data into actionable, strategic insights.

- Knowledge of USTRANSCOM and relevant objectives/goals.

Preferred Skills and Characteristics:

- Experience with
** data visualization
** and reporting tools to communicate insights visually.

- Experience working with a data warehouse environment preferred.

- Proficiency in designing dimensional databases and advanced object/data modeling.

- 8+ Years of experience

Target salary range: $76390.24 - $130605.48

Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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