ePlus Technology
Senior Data Architect (
Herndon, VA · Senior
Sponsorship not specifiedDetected 3 days ago
AzureCI/CDData EngineeringData VisualizationERPLeadershipCommunication
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About the role
- You will be responsible for defining future-state data architectures, enterprise data models, and architecture roadmaps while ensuring consistency, security, and data quality across the enterprise.
- The essential functions of this position include:
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.
- 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.
- 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.
- 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.
- Working closely with business and technology leaders, you will drive the adoption of modern data management practices and serve as the primary authority for enterprise-wide data architecture decisions, standards, and governance.
Requirements
- Bachelor's or master's degree in Computer Science, Information Systems, Data Architecture, Data Management, Engineering, or a related field.
- 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.
- 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.
- 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.
- 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.
- Deep understanding of metadata, lineage, business glossary, data quality, master and reference data, classification, privacy, security, retention, and lifecycle controls.
Nice to have
- Experience architecting data across ERP platforms and enterprise applications
- Oracle Fusion ERP transformation experience is preferred.
- Enterprise architecture, data management (TOGAF, DAMA, CDMP) is preferred.
Compensation
- The initial base salary range for this position is expected to be between $130,000 and $160,000 annually.
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