Enterprise Data Architect - AI-Ready Platforms (Hybrid)

CESO, INC.; Columbus (OH); Hybrid; USD 91,000 - 115,000; Full time

Benefits offered by this job

Flexible schedule

401K with match

Paid time off

Medical/Dental/Vision coverage

Training and development

Paid holidays

Employee events

Job summary

CESO, Inc. in Columbus, OH is seeking a Data Architect to design, implement, and govern enterprise data architectures that power reporting, analytics, and AI initiatives.

You will translate business requirements into scalable data models and collaborate with data engineers, analysts, and stakeholders across the organization. The role emphasizes security, governance, disaster recovery, and performance tuning to support enterprise-scale workloads.

Qualifications

• Bachelor's degree in CS/IS/Data Management/Engineering or equivalent.
• Master’s degree preferred.
• Minimum 5 years in data architecture or related fields.
• Experience documenting architecture decisions and recommendations.

Responsibilities

• Develop and maintain enterprise data architecture standards and best practices.
• Model logical, physical, dimensional, and semantic data models and scalable schemas.
• Design data integration solutions including APIs, ELT/ETL, cloud platforms, and reporting environments.
• Collaborate with Data Engineers on lakehouse, warehouse, and data pipeline solutions using Microsoft Fabric, SQL, and Azure.
• Translate business requirements into technical designs for data platforms.
• Establish and maintain enterprise data governance and compliance practices.

Skills

SQL

Data architecture

Data modeling

Data governance

AI/ML concepts

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or equivalent

Master’s degree

Tools

Microsoft Fabric

Azure

SQL Server

Azure Data Factory

Job description

CESO, Inc. in Columbus, OH is seeking a Data Architect to design, implement, and govern enterprise data architectures that power reporting, analytics, and AI initiatives.

You will translate business requirements into scalable data models and collaborate with data engineers, analysts, and stakeholders across the organization. The role emphasizes security, governance, disaster recovery, and performance tuning to support enterprise-scale workloads.