Senior AI/ML Data & Visualization Architect (TS/SCI)

Garrettgp

Northern (KY)

Hybrid

USD 110,000 - 160,000

Full time

2 days ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

401(k) with company match

Paid time off

Medical, dental, and vision coverage

Short-term disability

Life insurance

Job summary

The GARRETT GROUP is seeking a Senior Database, Programming, and Visualization Analyst to join our advanced technology team. This role focuses on mission‑driven data, analytics, and AI/ML initiatives across the organization, requiring deep technical expertise and strong architectural insight.

Ideal candidates bring 10+ years of database design and development, experience with Windows/IIS server administration, and Agile team leadership.

Qualifications

At least 10 years of experience in database design and development.
Minimum 3 years of application architecture and Windows/IIS server administration experience.
At least 3 years of database administration experience.
At least 3 years of experience contributing to or leading Agile development teams.
Proven experience designing databases that support AI/ML workflows and scalable data pipelines.
Bachelor's degree or higher in data science, computer science, analytics, statistics, applied mathematics, applied physics, MIS, business analytics, or equivalent.

Responsibilities

Design, develop, and maintain complex relational database systems, including tables, indexes, triggers, and stored procedures.
Architect and implement enterprise applications, including server administration within Windows and IIS.
Create and maintain front‑end and back‑end web applications, and integrated solutions using the Microsoft Office suite (Excel, Word, Access).
Administer large‑scale databases, ensuring performance, reliability, and security.
Lead or contribute to Agile teams, including sprint planning, backlog refinement, daily stand‑ups, and retrospectives.
Design and manage databases that support AI/ML operations, including preparing training datasets, ensuring data quality, and supporting scalable analytics pipelines.
Collaborate with cross‑functional teams to deliver high‑quality data visualization and analytics solutions.