Onsite Data Architect — AI Governance & Cloud-Native

Pyramid, Inc; Columbus (IN); On-site; USD 90,000 - 96,000; Full time

Benefits offered by this job

Health Insurance (medical, dental, vis

401(k)

Paid Sick Leave

Job summary

Pyramid Consulting, Inc. is seeking a Data Architect for a 12+ month on-site contract in Columbus, IN, to lead data architecture, AI governance, and computer-vision initiatives.

The role focuses on data integration, scalable architectures, and governance for enterprise data assets, with a strong emphasis on AI and knowledge-based systems. The candidate will drive DevOps, SecOps, and production deployment, building reusable data services and ensuring security, privacy, and compliance across the

Qualifications

• Bachelor's degree or higher in a related technical field.
• 7+ years of experience in data/architecture, cloud, AI/ML domains.
• 3+ years designing enterprise data architectures.
• Hands-on AWS cloud experience and cloud-native development.
• Strong knowledge of data modeling, data lineage, governance, and data quality.
• Experience deploying AI, ML, or knowledge-based solutions.

Responsibilities

• Lead data architecture, governance, AI strategy, and knowledge solutions.
• Design scalable architectures for databases, data lakes, APIs, and analytics platforms.
• Coordinate data migration, transformation, and modernization activities.
• Develop AI governance standards, security, and responsible AI controls.
• Create reusable data services and microservices; monitor performance and cost.
• Support DevOps, SecOps, and production deployments.

Skills

Data Architecture

AI Governance

AI Agents

Computer Vision

DevOps

SecOps

Python

SQL

AWS Cloud

Data Modeling

Education

Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field

Tools

OpenCV

Docker

Kubernetes

Git

CI/CD

API Development

Job description

Pyramid Consulting, Inc. is seeking a Data Architect for a 12+ month on-site contract in Columbus, IN, to lead data architecture, AI governance, and computer-vision initiatives.

The role focuses on data integration, scalable architectures, and governance for enterprise data assets, with a strong emphasis on AI and knowledge-based systems. The candidate will drive DevOps, SecOps, and production deployment, building reusable data services and ensuring security, privacy, and compliance across the