Data Architect Manager

CESO•Cincinnati, OH

18d•Hybrid

About The Position

The Data Architect Manager leads CESO’s enterprise data architecture strategy, standards, and technical direction while managing and developing the data architecture function. The role provides technical leadership and architectural oversight for scalable, secure, governed, and AI-ready enterprise data platforms that support business operations, reporting, analytics, integrations, and emerging technologies. It partners with business and technology stakeholders to align solutions with CESO’s technology strategy, governance requirements, security standards, and business objectives. Supervising direct reports is a key responsibility. The position may also perform other duties as assigned.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or an equivalent combination of education and relevant experience.
At least 10 years of progressive experience, including at least 8 years in data architecture, data engineering, database architecture, analytics engineering, enterprise information management, or related disciplines.
At least 5 years of experience providing technical leadership, mentoring technical professionals, or leading data architecture or data engineering teams.
Understanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data.
Understanding of identity, role-based access control, data security, privacy, retention, and regulatory or compliance considerations.
Ability to evaluate emerging technologies and translate technical capabilities, risks, and tradeoffs into recommendations for leadership.
Experience establishing enterprise architecture standards and governing technical solution designs.
Experience partnering with senior business and technology leaders to establish technical priorities and communicate architecture recommendations.
Experience managing multiple concurrent initiatives and balancing strategic architecture objectives with operational delivery requirements.
Experience implementing Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory, or lakehouse architectures.
Proficiency in SQL and working with relational and analytical data structures.
Strong understanding of data architecture principles, data modeling, database design, and integration patterns.
Experience establishing architecture standards, reference architectures, design patterns, and technical review practices.
Advanced knowledge of enterprise data architecture, data modeling, integration architecture, metadata management, master/reference data concepts, and data lifecycle management.
Strong understanding of DAMA-DMBOK principles and enterprise data governance practices.

Nice To Haves

Master’s degree.
Experience leading enterprise data platform modernization, cloud transformation, or large-scale data initiatives.
Experience designing data models for operational reporting, business intelligence, KPI frameworks, and analytics solutions.
Experience supporting AI, machine learning, Copilot, or advanced analytics initiatives.
Experience with data cataloging, metadata management, lineage, data quality, and governance technologies.
Experience architecting data environments supporting Power BI, Microsoft Copilot, machine learning, AI, and advanced analytics.
Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications.
Relevant certifications such as Certified Data Management Professional, Microsoft data certifications, or similar.

Responsibilities

Lead the development, implementation, and ongoing evolution of CESO’s enterprise data architecture strategy, standards, frameworks, design patterns, and technology roadmap.
Manage, mentor, and develop Data Architects and other assigned data professionals; establish priorities, provide technical direction, support professional development, and promote consistent architecture and engineering practices.
Lead the design and governance of logical, physical, dimensional, and semantic data models and enterprise database architectures for business applications, integrations, reporting, analytics, and AI initiatives.
Provide architectural oversight for enterprise data integration solutions, including APIs, ELT/ETL processes, cloud data platforms, data pipelines, and reporting environments.
Partner with Data Governance leadership, business data owners, and data stewards to establish and operationalize standards for data quality, ownership, stewardship, classification, retention, lineage, metadata, and appropriate use.
Establish architecture review practices to ensure data solutions align with enterprise architecture standards, security requirements, governance policies, privacy requirements, and business objectives.
Oversee enterprise data architecture documentation, including architecture diagrams, data models, data catalogs, lineage, technical standards, design decisions, and reference architectures.
Establish database and platform architecture requirements for scalability, performance optimization, indexing, partitioning, high availability, backup, disaster recovery, and business continuity.
Lead architectural development of AI-ready enterprise data platforms supporting business intelligence, advanced analytics, machine learning, Microsoft Copilot, automation, and future artificial intelligence initiatives.
Coordinate with Data Engineers, application teams, infrastructure, cybersecurity, analytics resources, consultants, and technology partners to ensure successful implementation of enterprise data solutions.
Supervise direct reports.
Perform other duties as assigned.