Senior Data Architect at ECS FEDERAL LLC in Quantico, Virginia

Posted in Other 8 days ago.





Job Description:


ECS is seeking a
Senior 
Data Architect
to work
Quantico, VA
.
 


 


Are you ready to play a crucial role in supporting
cutting-edge
technology for law enforcement and scientific organizations
supporting
the collection, processing, and analysis of
data
?
ECS is
seeking
a highly skilled and motivated
Data Architect
to join our team and make a
positive
impact
working in at the intersection of
traditional IT and specialized Operational Technology (OT) systems. 
 


As a Data Architect,
you will lead
and support teams driving
improvements in
data analysis and integration across systems to
enhance mission operations and
ensure data integrity, security, and usability
for the organization. 
 


In this role,
you'll
have the opportunity to:
 



  • Lead the development
    and implementation of
    strategic
    data modernization initiatives
    to support
    the
    advancement of data management
    and governance,
    cross-system integration,
    analytics,
    and data literacy.
     




  • Manage and secure mission-critical IT infrastructure, including servers, networks, and databases that support law enforcement operations and scientific analysis
     




  • Maintain and troubleshoot specialized OT systems, such as laboratory equipment, scientific instruments, and data acquisition devices
     




  • Implement and
    maintain
    robust cybersecurity measures to protect sensitive data and critical systems
     




  • Collaborate with diverse teams of law enforcement professionals and scientists to understand their unique technological needs and provide tailored solutions
     




  • Stay at the forefront of emerging technologies and apply them to enhance our organization's capabilities
     



This is a senior-level role designed for an expert in designing, developing, and implementing data systems, architectures, and solutions that meet the evolving needs of the organization. You will work across teams to drive data strategy, ensure data governance, and design efficient, scalable data infrastructures that support complex
mission and
business requirements.
 


To provide
support
data architecture,
engineering
,
and analysis
initiatives for law
enforcement and scientific organizations.
Responsibilities of the Senior
Data Architect
include but are not limited to:   
 



  • Designs and develops
    data architectures that ensure efficient storage, retrieval, security, integration, and management of complex
    data sets

     




  • Leads the development of enterprise data architectures, strategies, and solution recommendations in support of
    strategic
    business
    and mission
    objectives

     




  • Leads design of high-level conceptual and logical models that
    facilitate
    a cross-system/cross functional view of data requirements. 
     




  • Establishes processes for governing the identification, collection, and use of corporate metadata and takes steps to assure metadata accuracy, validity, and quality. 
     




  • Ensure data governance best practices are followed, including data quality, security, privacy, and compliance with industry standards and regulations.
     




  • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to build data solutions that support analytical and operational needs.
     




  • Provide expertise in the areas of data modeling, data lifecycle management, and advanced database technologies.
     




  • Conduct assessments of current data systems and recommend improvements or redesigns to support business growth and evolving data needs.
     




  • Reviews object and data models and the metadata repository to structure the data for better management and quicker access.
     




  • Support
    data migration and database consolidation initiatives to improve
    performance and efficiency.
     




  • Supports the development of data visualization services to present complex data in an understandable and actionable manner
     




  • Promote best practice adoption and conduct training sessions to reinforce data literacy an
    d analytics capabilities of the customer organization
     



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