Data Architect

Greenberg-Larraby, Inc. (GLI)

Washington (Washington County)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan
401k/IRA
Life Insurance
Paid Time Off
Family Leave
Disability

Job summary

Greenberg-Larraby, Inc. is seeking a Data Architect to design and manage the data architecture and framework for innovative data systems. The role requires expert knowledge of database management, data modeling, and data storage solutions.

The candidate will lead data architecture strategies, collaborate with stakeholders, and establish governance and metadata documentation to support analytics initiatives. A strong background in big data is a plus.

Qualifications

  • Active Secret clearance required.
  • U.S. citizens with no dual citizenship due to agency/contract requirements.
  • 10+ years in data architecture, data modeling, or related field.
  • Proficiency with database management systems (SQL Server, Oracle, MySQL) and data warehousing.
  • Big data technologies (Hadoop, Spark) a plus.
  • Strong analytical and problem-solving skills; excellent written and verbal communication.

Responsibilities

  • Develop and implement data architecture strategies for optimal data management across the organization.
  • Collaborate with stakeholders to gather requirements and assess current data systems.
  • Design and model database solutions supporting operations and analytics.
  • Establish data governance, quality standards, and retention policies.
  • Create and maintain metadata, data dictionaries, and technical documentation.
  • Evaluate tools/technologies for data integration, analytics, and visualization.
  • Mentor data teams on best practices in data architecture.
  • Stay current with data tech trends to inform future solutions.

Skills

Data architecture
Data modeling
Data governance
Metadata management
Cross-functional collaboration

Education

Bachelor's degree in Computer Science / Information Technology / related field

Tools

SQL Server
Oracle
MySQL
Hadoop
Spark

Job description

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.

Responsibilities
  • 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
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