Senior Data Architecture Lead - AI-Ready Enterprise

CESO, Inc.; Dayton (OH); On-site; USD 108,000 - 228,000; Full time

Benefits offered by this job

Flexible and Hybrid Work Schedule

Paid Time Off

401K with a Company Match

Medical / Dental / Vision Coverage

Training and Development

Paid Holidays

Employee Events

Job summary

CESO, Inc. is seeking a Data Architect Manager to lead the enterprise data architecture strategy, standards, and technical direction across scalable, secure, governed data platforms.

You will mentor data professionals and collaborate with business and technology stakeholders to align solutions with strategy and governance. The role focuses on data modeling, data governance, and AI-ready architectures, including data integration, cloud platforms, and BI/analytics capabilities, with emphasis on

Qualifications

• Bachelor's degree in CS, IS, data management or related field.
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• Master's degree preferred.
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• 10+ years in data architecture/engineering roles.
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• 5+ years leading data teams.
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• Strong security, privacy and compliance knowledge.
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• Experience with enterprise data platforms and cloud services.
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Responsibilities

• Lead enterprise data architecture strategy and standards.
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• Mentor data architects and engineers.
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• Design logical/physical data models and platforms.
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• Oversee data integration, ETL/ELT, APIs and cloud data platforms.
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• Collaborate with governance, security, and business stakeholders.
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• Coordinate multiple initiatives and ensure alignment with strategy.
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Skills

Data architecture

Data modeling

Leadership

Cloud platforms

SQL

Education

Bachelor's degree in CS/IS/Data Management/Engineering

Master's degree preferred

Tools

SQL Server

Azure SQL

Data Factory

Power BI

Microsoft Fabric

Job description

CESO, Inc. is seeking a Data Architect Manager to lead the enterprise data architecture strategy, standards, and technical direction across scalable, secure, governed data platforms.

You will mentor data professionals and collaborate with business and technology stakeholders to align solutions with strategy and governance. The role focuses on data modeling, data governance, and AI-ready architectures, including data integration, cloud platforms, and BI/analytics capabilities, with emphasis on