LMI is seeking a Lead Data Integrator to assist a United States Army client in architecting, designing, and developing a next generation command and control. 

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.  

LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible! 

This position requires an active Secret clearance. 

• Develop a strategy and architecture for a data pipeline that supports a cloud-based Platform as a Service built in AWS GovCloud that aligns with DOD IT policy. \
• Create/Review Data Architectural Diagrams.  
• Engage with senior government stakeholders with the ability to provide data SME technical advice and consultation. 
• Ability to present at the C-suite/General Officer level. 
• Serve as a trusted data advisor to senior military and civilian leadership to help shape and inform the next generation of command and control. 
• Maintain relationships between industry partners in order to successfully execute data requirements and support large scale testing and evaluation exercises. 
• Ability to create and understand data architecture that is consistent with guidance outlined in the Department of Defense Architectural Framework (DoDAF). 
• Design Strategies for databases, data-centric, distributed architecture, and a Cloud Infrastructure network. 
• Establish standards needed for database operations, programming, query processes and data security. 
• Model, design, and construct multiple relational databases or data warehouses. 
• Create and optimize data models for appropriate data infrastructure and workflow. 
• Integrate new systems with existing warehouse and data structures and refine system performance and functionality. 
• Ability to design a data architecture that supports an enterprise data mesh concept. 
• Familiarity with a variety of database types and implementations. 

• Active Secret Clearance  
• Minimum 10-years of professional technical experience 
• Minimum of 5-years of data focused professional technical experience 
• BS in computer science, data science, engineering, or STEM 
• Skilled in the use of project management techniques and best practices (PMP and Agile certifications preferred) 
• Experience with AWS and Kubernetes services to support client strategic initiatives 
• Experience in stakeholder management, digital transformation and modernization, and Data as a Service (DaaS) automation 
• Skilled in process design, development of process flow models and schematics, definition of process elements, and development of business process documentation, 
• Skilled in the use of DoDAF diagram modeling tools, and development of external system interfaces 
• Experience implementing data architecture for clients leveraging domain driven design, event drive systems, and data mesh 
• Experience in enterprise database, data-centric enterprise system design, and multidimensional network 
• Experience architecting, designing, developing, and deploying data centered applications in a cloud- based government IT environment 
• Experience integrating and developing data strategy, documentation, and metrics systems for analytics on Platform as a Service (PaaS) 
• Experience with RabbitMQ, Kafka, Python, Helm, Docker, or other similar tools and coding languages