{"id":2950013,"url":"https://alion.io/job/ceso-data-architect-manager","title":"Data Architect Manager","company":{"id":673016,"name":"CESO","domain":"cesoinc.com","url":"https://alion.io/company/cesoinc","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":92,"open_postings":30,"ghost_share":0,"stale_share":0.1,"repost_share":0.067,"time_to_fill_p50_days":127,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dayton, United States","Cincinnati, United States","Columbus, United 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implementation, and ongoing evolution of CESO's enterprise data architecture strategy, standards, frameworks, design patterns, and technology roadmap.\nManage, 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.\nLead 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.\nProvide architectural oversight for enterprise data integration solutions, including APIs, ELT/ETL processes, cloud data platforms, data pipelines, and reporting environments.\nPartner 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.\nEstablish architecture review practices to ensure data solutions align with enterprise architecture standards, security requirements, governance policies, privacy requirements, and business objectives.\nOversee enterprise data architecture documentation, including architecture diagrams, data models, data catalogs, lineage, technical standards, design decisions, and reference architectures.\nEstablish database and platform architecture, including scalability, performance optimization, indexing, partitioning, high availability, backup, disaster recovery, and business continuity requirements.\nLead the architectural development of AI-ready enterprise data platforms supporting business intelligence, advanced analytics, machine learning, Microsoft Copilot, automation, and future artificial intelligence initiatives.\nCoordinate with Data Engineers, application teams, infrastructure, cybersecurity, analytics resources, consultants, and technology partners to ensure successful implementation of enterprise data solutions.\nSupervising direct reports is a key responsibility of this job.\nPerform other duties assigned\nPosition Requirements\nBachelor'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.\nMinimum 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.\nMinimum of 5 years of experience providing technical leadership, mentoring technical professionals, or leading data architecture/data engineering teams is required.\nUnderstanding of security, access controls, privacy requirements, and compliance considerations related to enterprise data is required.\nUnderstanding of identity, role-based access control, data security, privacy, retention, and regulatory/compliance considerations is required.\nAbility to evaluate emerging technologies and translate technical capabilities, risks, and tradeoffs into recommendations for leadership is required.\nExperience establishing enterprise architecture standards and governing technical solution designs is required.\nExperience partnering with senior business and technology leaders to establish technical priorities and communicate architecture recommendations is required.\nExperience managing multiple concurrent initiatives and balancing strategic architecture objectives with operational delivery requirements is required.\nExperience leading enterprise data platform modernization, cloud transformation, or large-scale data initiatives is preferred.\nExperience with implementing Microsoft Fabric, SQL Server, Azure SQL, data warehouses, data lakes, Data Factory or lakehouse architectures is required.\nProficiency in SQL and working with relational and analytical data structures is required.\nStrong understanding of data architecture principles, data modeling, database design, and integration patterns is required.\nExperience establishing architecture standards, reference architectures, design patterns, and technical review practices is required.\nAdvanced knowledge of enterprise data architecture, data modeling, integration architecture, metadata management, master/reference data concepts, and data lifecycle management is required.\nStrong understanding of DAMA-DMBOK principles and enterprise data governance practices is required.\nExperience designing data models for operational reporting, business intelligence, and KPI Frameworks and analytics solutions is preferred.\nExperience supporting AI, machine learning, Copilot, or advanced analytics initiatives is preferred.\nExperience with data cataloging, metadata management, lineage, data quality, and governance technologies is preferred.\nExperience architecting data environments supporting Power BI, Microsoft Copilot, machine learning, AI, and advanced analytics is preferred.\nMicrosoft Fabric, Azure Data Engineer, Azure Data Fundamentals, or related certifications, are preferred.\nRelevant certifications such as Certified Data Management Professional, Microsoft data certifications, or similar, are preferred.\n\nBenefits and Perks\nFlexible and Hybrid Work Schedule\nPaid Time Off - Credited to You 100% Upfront\n401K with a Company Match\nRewards and Recognition Program\nTraining and Development to Foster Professional Growth\nPaid Holidays\nMedical / Dental / Vision Coverage\nWelcome Box\nCasual Dress Code\nReimbursement for Professional Licenses\nPaid Time Off for Community Team Service Events\nVoluntary or Supplemental Short-Term / Long-Term Disability\nEmployee Assistance Program\nCompany Paid Bonding and Recovery\nEmployee Events such as Lunches and Outings to Foster a Positive Work 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