Company

Technology

SeniorDataArchitect

US FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Architect. Skills: Data architecture, Data engineering, Database design, Data integration. Design enterprise data architectures. Develop enterprise data architectures”

Industry & Context.

Technology
Problems you'll solve

Analytical thinking; Problem-solving abilities

Eligibility Requirements

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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