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At CESO, a Data Architect Manager is responsible for leading CESO's enterprise data architecture strategy, standards, and technical direction while managing and developing the data architecture function. This position provides technical leadership, as well as architectural oversight for scalable, secure, governed, and AI-ready enterprise data platforms supporting business operations, reporting, analytics, integrations, and emerging technologies. The position partners with business and technology stakeholders to ensure solutions align with CESO's technology strategy, data governance requirements, security standards, and business objectives.
Primary 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, including establishing priorities, providing technical direction, supporting professional development, and promoting consistent architecture and engineering practices.
- Lead the design and governance of logical, physical, dimensional, and semantic data models and enterprise database architectures supporting 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, including scalability, performance optimization, indexing, partitioning, high availability, backup, disaster recovery, and business continuity requirements.
- Lead the 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.
- Supervising direct reports is a key responsibility of this job.
- Perform other duties assigned
Position Requirements- Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent combination of education and relevant experience, is required.
- Master's degree is preferred.
- Minimum of 10 years of progressive experience, at least 8 of those years in data architecture, data engineering, database architecture, analytics engineering, enterprise information management, or related disciplines is required.
- Minimum of 5 years of experience providing technical leadership, mentoring technical professionals, or leading data architecture/data engineering teams is required.
- Understanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data is required.
- Understanding of identity, role-based access control, data security, privacy, retention, and regulatory/compliance considerations is required.
- Ability to evaluate emerging technologies and translate technical capabilities, risks, and tradeoffs into recommendations for leadership is required.
- Experience establishing enterprise architecture standards and governing technical solution designs is required.
- Experience partnering with senior business and technology leaders to establish technical priorities and communicate architecture recommendations is required.
- Experience managing multiple concurrent initiatives and balancing strategic architecture objectives with operational delivery requirements is required.
- Experience leading enterprise data platform modernization, cloud transformation, or large-scale data initiatives is preferred.
- Experience with implementing Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory or lakehouse architectures is required.
- Proficiency in SQL and working with relational and analytical data structures is required.
- Strong understanding of data architecture principles, data modeling, database design, and integration patterns is required.
- Experience establishing architecture standards, reference architectures, design patterns, and technical review practices is required.
- Advanced knowledge of enterprise data architecture, data modeling, integration architecture, metadata management, master/reference data concepts, and data lifecycle management is required.
- Strong understanding of DAMA-DMBOK principles and enterprise data governance practices is required.
- Experience designing data models for operational reporting, business intelligence, and KPI Frameworks and analytics solutions is preferred.
- Experience supporting AI, machine learning, Copilot, or advanced analytics initiatives is preferred.
- Experience with data cataloging, metadata management, lineage, data quality, and governance technologies is preferred.
- Experience architecting data environments supporting Power BI, Microsoft Copilot, machine learning, AI, and advanced analytics is preferred.
- Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications, are preferred.
- Relevant certifications such as Certified Data Management Professional, Microsoft data certifications, or similar, are preferred.
Benefits and Perks- Flexible and Hybrid Work Schedule
- Paid Time Off - Credited to You 100% Upfront
- 401K with a Company Match
- Rewards and Recognition Program
- Training and Development to Foster Professional Growth
- Paid Holidays
- Medical / Dental / Vision Coverage
- Welcome Box
- Casual Dress Code
- Reimbursement for Professional Licenses
- Paid Time Off for Community Team Service Events
- Voluntary or Supplemental Short-Term / Long-Term Disability
- Employee Assistance Program
- Company Paid Bonding and Recovery
- Employee Events such as Lunches and Outings to Foster a Positive Work Environment
$107,541 - $227,956 a year
CESO Compensation Transparency:The pay band shown reflects the minimum and maximum base salary for this position at CESO. Actual pay is determined by several factors, including location, experience, education, skills, and internal equity. Our pay structures are benchmarked against industry and market data to stay competitive. Each offer is based on a full review of a candidate's background, qualifications, and fit for the role.
Below are the typical new hire pay ranges for this position based on location:
Akron, OH: $107,541 - $142,681
Cincinnati, OH: $113,515 - $150,607
Columbus, OH: $113,515 - $150,607
Dayton, OH: $113,515 - $150,607
CESO is a principle-centered organization that aligns with strong service values, integrity, and authenticity. We develop and inspire through training and coaching on the job. At CESO, we believe that work should be more rewarding than just a paycheck. In addition to a comprehensive benefit and compensation program, we create memories and friendships through our employee and service events.
CESO, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This organization participates in E-Verify and is a drug-free workplace. Criminal background checks and drug/alcohol checks are required.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
