Data Architect - Clearance Required

Scott AFB, IL, United States

Logistics Management Institute

With a legacy of solving the government’s most complex challenges and an outcome-driven model to execute above expectation, LMI transforms missions with solutions that define the new speed of possible.

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Overview

LMI is seeking a Data Architect to perform information technology related requirements as part of an integrated team supporting for the Department of Defense, United States Transportation Command. The position requires proficiency in physical data modeling and any major BI Visualization tool. Work will be performed at Scott AFB, IL and in the vicinity of O’Fallon, IL.

 

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

Responsibilities

  • Designs and builds relational databases. Performs data access analysis design, and archive/recovery design and implementation
  • Develops strategies for data acquisitions, archive recovery, and implementation of a database
  • Works in a data warehouse environment, which includes data design, database architecture, and metadata repository creation
  • Translates business needs into long-term architecture solutions
  • Defines, designs, and builds dimensional databases
  • Develops data warehousing blueprints, evaluating hardware and software platforms, and integrating systems
  • Reviews and develops object and data models and the metadata repository to structure the data for better management and quicker access

Qualifications

  • Bachelor's in Computer Science, Information Systems, Engineering, Business, Social Science, or other related analytical, scientific, or technical disciplines or equivalent years of experience
  • 3-5 years experience building automated ETL data-pipelines, using:Python,Pandas, Dataframes, or Pyspark.
  • 3-5 years of SQL experience including: Data Definition Language (DDL) and/or Data Manipulation Language (DML).
  • 3-5 years of MS Excel experience
  • 3-5 years of experience deriving business use case requirements
  • 3-5 years of Business Intelligence and Visualization experience using tools such as: Qlik, Tableau, or PowerBI.
  • 3-5 years working in an Agile/Scrum environment
  • 3-5 years using MS Teams / SharePoint
  • Experience building physical data models/database design, preferred
  • Experience working with DoD preferred, but not necessary
  • Must possess an active SECRET US Government clearance
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture Business Intelligence Computer Science Data warehouse Data Warehousing DDL Engineering ETL Excel Pandas Pipelines Power BI PySpark Python Qlik RDBMS Scrum SharePoint SQL Tableau

Region: North America
Country: United States
Job stats:  4  0  0
Category: Architecture Jobs

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