Enterprise Data Architect: Strategy, Governance & AI

ePlus Technology, inc.; Herndon (VA); On-site; USD 130,000 - 160,000; Full time

Job summary

ePlus Technology, inc. seeks a Sr Data Architect to lead enterprise data architecture, standards, and governance across platforms, analytics, and AI.

You will define future-state data models and roadmaps, partnering with business and technology leaders to ensure data quality, security, and scalability. You will own cross-domain architecture, guide adoption of modern data practices, and mentor analysts and engineers while aligning data capabilities with business strategy and enterprise

Qualifications

• Bachelor’s or master’s degree in Computer Science, Information Systems, Data Architecture, Data Management, Engineering, or a related field.
• 10+ years of progressive experience across enterprise data architecture, information architecture, data modeling, integration, governance, data warehousing, or cloud data platforms, including leadership across multiple business domains or transformation programs.
• Demonstrated ownership of enterprise target-state architectures, transition roadmaps, reference patterns, architecture principles, standards, and decision governance.
• Advanced expertise in enterprise conceptual and logical modeling, canonical and domain models, master and reference data, and the relationship between enterprise models and physical implementation models.
• Strong knowledge of modern data architecture patterns, including lakehouse, warehouse, data mesh, medallion, governed data products, semantic layers, APIs, events, batch, and near-real-time integration.
• Strong knowledge of Microsoft Fabric, OneLake, Lakehouse, Warehouse, Data Factory, Power BI semantic models, and Azure data services sufficient to establish enterprise architecture direction and evaluate solution designs.
• Experience architecting data across ERP platforms and enterprise applications; Oracle Fusion ERP transformation experience is preferred.
• Deep understanding of metadata, lineage, business glossary, data quality, master and reference data, classification, privacy, security, retention, and lifecycle controls.
• Experience with Microsoft Purview or comparable data governance, catalog, and lineage platforms.
• Experience establishing architecture governance, data contracts, architecture decision records, review forums, exception processes, and standards adoption across multiple delivery teams.
• Ability to distinguish enterprise architecture accountability from solution implementation, while collaborating effectively with Data Engineering, BI, platform, security, governance, and business teams.
• Excellent executive communication, facilitation, influence, and stakeholder-management skills, with the ability to turn complex enterprise needs into clear architecture choices and roadmaps.
• Enterprise architecture, data management (TOGAF, DAMA, CDMP) is preferred.

Responsibilities

• Own the enterprise-wide data architecture across business domains, Microsoft Fabric, Oracle Fusion ERP, analytics, AI, governance, and enterprise applications, aligning data capabilities with business strategy and enterprise architecture.
• Define the target-state data architecture, multi-year transition roadmaps, reference architectures, and enterprise guardrails that guide multiple platforms, programs, and delivery teams.
• Establish enterprise data domains, authoritative source principles, shared business entities, interoperability standards, and decision rights that create consistency beyond any single warehouse or reporting solution.
• Develop and govern conceptual and logical enterprise data models; provide direction for physical models implemented by Data Engineering and EDW teams.
• Define architecture patterns for governed data products, data contracts, master and reference data, metadata, lineage, quality, retention, privacy, security, and lifecycle management.
• Provide strategic data architecture leadership for Oracle Fusion ERP, operational systems, Microsoft Fabric modernization, enterprise analytics, semantic models, and AI-ready data.
• Partner with business data owners, data stewards, Enterprise Architecture, Security, ERP, Infrastructure, analytics, and engineering leaders to translate enterprise capabilities into cohesive data architecture.
• Lead cross-domain architecture reviews, resolve design conflicts, identify enterprise dependencies and risks, and document architecture decisions and approved exceptions.
• Define certification criteria for trusted, business-certified data, shared metrics, and reusable data products that support consistent reporting and decision-making.
• Guide enterprise adoption of Microsoft Purview and related capabilities for catalog, glossary, lineage, classification, stewardship, data quality, and policy implementation.
• Set architecture requirements for integration and pipeline patterns, including orchestration, resiliency, observability, error handling, testing, CI/CD, and environment promotion; Data Engineering owns detailed build, deployment, and production operation.
• Maintain enterprise data principles, capability maps, domain models, information flows, reference architectures, decision records, standards, and roadmaps; advise and mentor architects, engineers, analysts, and governance practitioners.

Skills

Data architecture

Data governance

Enterprise modeling

TOGAF

Microsoft Fabric

Oracle Fusion ERP

Analytics/AI readiness

Executive communication

Education

Bachelor’s or Master’s degree in Computer Science/Data Architecture/Information Systems

Tools

Microsoft Purview

Power BI

Azure data services

Data Factory

Job description

ePlus Technology, inc. seeks a Sr Data Architect to lead enterprise data architecture, standards, and governance across platforms, analytics, and AI.

You will define future-state data models and roadmaps, partnering with business and technology leaders to ensure data quality, security, and scalability. You will own cross-domain architecture, guide adoption of modern data practices, and mentor analysts and engineers while aligning data capabilities with business strategy and enterprise