Data Architect Manager

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