Data Architect

Posted Yesterday
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Washington, DC, USA
In-Office
Expert/Leader
Information Technology • Professional Services • Consulting • Defense
The Role
Design and manage enterprise data architecture, including data modeling, database and storage solutions, governance, metadata, integration tooling, and mentoring data teams to support analytics and operations.
Summary Generated by Built In

The Data Architect will be responsible for designing and managing the data architecture and framework to support innovative data systems. This role requires expert knowledge in database management systems, data modeling, and data storage solutions.

• Develop and implement effective data architecture strategies to ensure optimal data management and utilization across the organization.

• Collaborate with stakeholders to gather and analyze requirements for data needs and conduct assessments of existing data systems.

• Design and model database solutions that support business operations and analytics initiatives.

• Establish data governance frameworks, data quality standards, and data retention policies.

• Create and maintain metadata, data dictionaries, and technical documentation.

• Evaluate and recommend tools and technologies for data integration, analytics, and visualization.

• Provide guidance and mentorship to data teams on best practices in data architecture.

• Stay updated with the latest developments in data technology and market trends to inform future architecture solutions.


Requirements

• Active Secret clearance is required.

• Due to agency and contract requirements, candidates must be U.S. citizens with no dual citizenship.

• 10+ years of experience in data architecture, data modeling, or a related field.

• Proficiency in database management systems (e.g., SQL Server, Oracle, MySQL) and data warehousing solutions.

• Experience with big data technologies & frameworks (e.g., Hadoop, Spark) is a plus.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills to work with cross-functional teams.

A degree in Computer Science, Information Technology, or a related field is preferred.


Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long-Term Disability

Disclaimer: 

Greenberg & Larraby, Inc. will never send offer letters of employment unless a thorough interview process has taken place and all other internal processing has taken place.

 If you receive one from an outside party and is not from the URL of our firm at @greenberg-larraby.com), please do not respond. If you have further questions, please reach out to your administrator.  

When you apply to our positions, upon our interest, a recruiter will call you directly and will pre-screen prior to an interview.  Offers of employment are contingent upon a thorough interview process, background check, and security clearance adjudication processing as applicable. Thank you.

Skills Required

  • Active Secret clearance
  • U.S. citizen with no dual citizenship
  • 10+ years of experience in data architecture, data modeling, or related field
  • Proficiency with database management systems (SQL Server, Oracle, MySQL) and data warehousing solutions
  • Experience with big data technologies and frameworks (Hadoop, Spark)
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Degree in Computer Science, Information Technology, or related field
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The Company
30 Employees

What We Do

GLI Federal Solutions, a division of Greenberg & Larraby, Inc., is a WOSB and SBA Certified HUBZone business providing innovative healthcare, technology, program management, and professional consulting solutions to federal agencies and commercial organizations nationwide. The company focuses on healthcare operations, radiology, IT modernization, and professional consulting, aiming to deliver exceptional solutions while putting people first to help organizations solve complex operational challenges.

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