Data Architect Manager

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.

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; Supervise direct reports; Perform other duties assigned

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent combination of education and relevant experience; 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; Minimum of 5 years of experience providing technical leadership, mentoring technical professionals, or leading data architecture/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/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 with 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 have

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, and 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

Benefits

Flexible and Hybrid Work Schedule; Paid Time Off credited 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