This is an LTS - Long Term Supplemental role for up to 36 months
Your role and responsibilities
• Works with business partners to define ways to leverage data to develop platforms and solutions to meet mission requirements
• Leads the architecture, design, build, and development of the business intelligence for high-performance and an adaptable data solution optimal for modern platforms with the ability to integrate technical functionality to deliver a robust scalable data architecture that meets mission objectives and goals
• Evaluates new data sources and develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery
• Supports client's Database Management System (DBMS) environments through installation and maintenance of COTS DBMS software packages
• Provides industry standards of service including preventive maintenance, inspections, and services to maximize the reliability of infrastructure resources
• Supports full range of data governance (i.e. principles, policies, processes, frameworks, tools, etc.) to manage data at all levels across the lifecycle, making the transition to support AI training and algorithmic models
• Manages client Enterprise database and data modeling as it matures and modernizes
• Functions as a technical expert across multiple project assignments
• May supervise others
• Produces and/or is responsible for the following deliverable(s)
• Leads the architecture, design, build, and development of the business intelligence for high-performance and an adaptable data solution optimal for modern platforms with the ability to integrate technical functionality to deliver a robust scalable data architecture that meets mission objectives and goals
• Evaluates new data sources and develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery
• Supports client's Database Management System (DBMS) environments through installation and maintenance of COTS DBMS software packages
• Provides industry standards of service including preventive maintenance, inspections, and services to maximize the reliability of infrastructure resources
• Supports full range of data governance (i.e. principles, policies, processes, frameworks, tools, etc.) to manage data at all levels across the lifecycle, making the transition to support AI training and algorithmic models
• Manages client Enterprise database and data modeling as it matures and modernizes
• Functions as a technical expert across multiple project assignments
• May supervise others
• Produces and/or is responsible for the following deliverable(s)
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
Data architecture, data modeling, data platforms, data lifecycles
8140 Cert: 421 - Intermediate;
Cloud+ or SSCP or Security+ or GSEC; OR Applicable degree ABET accredited/CAE designated
Must have existing Top Secret w/ SCI Eligible Clearance.
Preferred technical and professional experience
Supports full range of data governance (i.e. principles, policies, processes, frameworks, tools, etc.) to manage data at all levels across the lifecycle, making the transition to support AI training and algorithmic models
