
Senior Data Architect
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in United States.
• Take ownership of enterprise-wide data architecture encompassing various business domains, Microsoft Fabric, Oracle Fusion ERP, analytics, AI, governance, and enterprise applications.
• Define the target-state data architecture, create multi-year transition roadmaps, establish reference architectures, and set enterprise guardrails.
• Establish enterprise data domains, principles for authoritative sources, shared business entities, standards for interoperability, and decision rights.
• Develop and govern conceptual and logical enterprise data models.
• Define architectural patterns for governed data products, data contracts, master and reference data, metadata, lineage, quality, retention, privacy, security, and lifecycle management.
• Provide strategic leadership in data architecture for ERP, operational systems, Microsoft Fabric modernization, enterprise analytics, semantic models, and AI-ready data.
• Collaborate with business data owners, data stewards, and leaders in Enterprise Architecture, Security, ERP, Infrastructure, analytics, and engineering.
• Lead architecture reviews across domains, resolve design conflicts, identify dependencies and risks, and document architecture decisions and exceptions.
• Define certification criteria for trusted, business-certified data, shared metrics, and reusable data products.
• Guide the adoption of Microsoft Purview for cataloging, glossary creation, lineage tracking, classification, stewardship, data quality, and policy implementation.
• Establish architecture requirements for integration and pipeline patterns, including orchestration, resiliency, observability, error handling, testing, CI/CD, and environment promotion.
• Maintain data principles, capability maps, domain models, information flows, reference architectures, decision records, standards, and roadmaps.
• Provide advice and mentorship to architects, engineers, analysts, and governance practitioners.
• Bachelor's or master's degree in Computer Science, Information Systems, Data Architecture, Data Management, Engineering, or a related field.
• Over 10 years of progressive experience in enterprise data architecture, information architecture, data modeling, integration, governance, data warehousing, or cloud data platforms.
• Proven leadership experience across multiple business domains or transformation programs.
• Experience with enterprise target-state architecture, transition roadmaps, reference patterns, architecture principles, standards, and decision governance.
• Advanced knowledge in conceptual and logical modeling, canonical and domain models, master and reference data, and physical implementation models.
• Familiarity with lakehouse, warehouse, data mesh, medallion, governed data products, semantic layers, APIs, events, batch, and near-real-time integration.
• Proficiency in Microsoft Fabric, OneLake, Lakehouse, Warehouse, Data Factory, Power BI semantic models, and Azure data services.
• Experience in architecting data for ERP platforms and enterprise applications.
• Strong understanding of metadata, lineage, business glossary, data quality, master and reference data, classification, privacy, security, retention, and lifecycle controls.
• Experience with Microsoft Purview or similar data governance, catalog, and lineage platforms.
• Experience in establishing architecture governance, data contracts, architecture decision records, review forums, exception processes, and standards adoption.
• Excellent skills in executive communication, facilitation, influence, and stakeholder management.
• Preferred certifications in enterprise architecture or data management, such as TOGAF, DAMA, or CDMP.
• Preferred experience with Oracle Fusion ERP transformation.
• Medical benefits.
• Financial benefits.
• 401(k) eligibility.
• Employee stock purchase program.
• Paid vacation, sick time, and personal leave.
• Reasonable accommodations.
• Support for work/life balance.
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