Company
Technology
SeniorDataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Architect. Skills: Data architecture, Data engineering, Database design, Data integration. Design enterprise data architectures. Develop enterprise data architectures”
Industry & Context.
Analytical thinking; Problem-solving abilities
U. S. citizenship, Secret security clearance
What They're Looking For.
Must Have
U. S. citizenship, Secret security clearance, Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience), Minimum 5+ years of experience in data architecture, data engineering, or database design roles, Experience designing enterprise data models, database solutions, and large-scale data systems, Deep knowledge of relational and non-relational database technologies, Hands-on experience with ETL/ELT processes, data integration, and data migration projects, Understanding of data governance, data quality, metadata management, and data security principles, Experience working with cloud-based data platforms such as AWS, Azure, or Google Cloud, Experience supporting enterprise-scale or mission-critical systems, preferably in government or defense environments, Analytical thinking, Problem-solving abilities, Attention to detail, Excellent communication skills
Nice to Have
Knowledge of DevSecOps principles, Modern data engineering practices, Familiarity with Power BI, Tableau, or similar data visualization platforms
What You'll Do.
Design enterprise data architectures
Develop enterprise data architectures
Maintain enterprise data architectures
Design database structures
Develop database structures
Maintain database structures
Define data strategies
Implement data strategies
Translate data needs into technical solutions
Design data integration frameworks
Implement data integration frameworks
Establish data governance standards
Enforce data governance standards
Establish data quality standards
Enforce data quality standards
Establish data security standards
Enforce data security standards
Ensure compliance with performance requirements
Ensure compliance with security requirements
Ensure compliance with regulatory requirements
Develop data pipelines
Optimize data pipelines
Develop ETL/ELT processes
Optimize ETL/ELT processes
Develop storage solutions
Optimize storage solutions
Support cloud-based data environments
Support hybrid data environments
Partner with software engineering teams
Support system integrations
Support data service development
Create architecture documentation
Maintain architecture documentation
Create technical specifications
Maintain technical specifications
Evaluate emerging data technologies
Recommend improvements to architecture
Recommend improvements to tools
Recommend improvements to practices
Support business intelligence initiatives
Support reporting initiatives
Support analytics initiatives
Support decision-support initiatives
How You'll Work.
Team & Collaboration
Collaborate with stakeholders; Partner with software engineering teams; Collaborate across technical stakeholders; Collaborate across non-technical stakeholders
Communication Scope
Technical documentation; Technical specifications
Full Job Description
## Accountabilities Design, develop, and maintain enterprise data architectures, models, and database structures supporting operational and analytical systems. Define and implement data strategies aligned with business, mission, reporting, and decision-support requirements. Collaborate with stakeholders to translate complex data needs into scalable and secure technical solutions. Design and implement data integration frameworks across multiple systems, platforms, and environments. Establish and enforce data governance, data quality, and data security standards across the enterprise. Ensure compliance with performance, security, and regulatory requirements, including government and defense standards. Develop and optimize data pipelines, ETL/ELT processes, databases, and storage solutions for scalability and efficiency. Support cloud-based and hybrid data environments, ensuring seamless data flow and accessibility. Partner with software engineering teams to support system integrations and data service development. Create and maintain comprehensive architecture documentation, data models, and technical specifications. Evaluate emerging data technologies and recommend improvements to architecture, tools, and practices. Support business intelligence, reporting, analytics, and decision-support initiatives across programs. Requirements U.S. citizenship with eligibility to obtain and maintain an active Secret security clearance. Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience). Minimum 5+ years of experience in data architecture, data engineering, or database design roles. Strong experience designing enterprise data models, database solutions, and large-scale data systems. Deep knowledge of relational and non-relational database technologies. Hands-on experience with ETL/ELT processes, data integration, and data migration projects. Strong understanding of data governance, data quality, metad
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