Data Architect (Microsoft Fabric)

QUALIFICATIONS • 8+ years of total technical experience in data engineering, analytics, or enterprise data platforms, including 3+ years in a dedicated data architecture or technical lead role. • Strong understanding of modern data architecture patterns, including Lakehouse, data warehouse, dimensional modeling, and semantic modeling. • Experience with cloud data platforms, preferably Microsoft Azure and Microsoft Fabric. • Working knowledge of Power BI architecture and data governance concepts, including metadata, lineage, security, and compliance. • Strong communication and stakeholder management skills, with the ability to translate business strategy into architecture roadmaps. • Advanced English proficiency, written and spoken, required for daily collaboration with U.S.-based teams and client-facing engagements. • Valid passport and up-to-date travel documentation for the United States, as occasional international travel may be required depending on client and project needs.

KEY RESPONSIBILITIES • Define enterprise data architecture standards, reference architectures, and implementation patterns for Microsoft Fabric, Power BI, Purview, and Azure-based data platforms. • Lead the design of Fabric-first analytics architectures, including OneLake strategy, Lakehouse and Warehouse patterns, workspace structure, domains, capacity considerations, and data product design. • Establish Power BI architecture standards for semantic models, certified datasets, deployment pipelines, workspace governance, performance optimization, and self-service reporting. • Define Microsoft Purview governance models including data catalog standards, lineage, business glossary, classification, ownership, stewardship, metadata management, and information protection alignment practices. • Guide modernization from legacy databases, data warehouses, reporting platforms, and fragmented data stores into governed lakehouse and analytics ecosystems. • Design integration strategies across cloud, on-premises, SaaS, operational systems, APIs, data warehouses, and analytics platforms. • Define data security, access control, privacy, retention, quality, and compliance patterns aligned to client and regulatory requirements. • Partner with executive stakeholders, business leaders, delivery teams, and technical specialists to align data architecture with strategic outcomes. • Conduct architecture reviews, solution assessments, platform readiness evaluations, and roadmap planning sessions. • Translate complex Fabric architectures and data solutions into clear, business-friendly explanations for both technical and non-technical audiences. • Document data architectures, pipelines, and technical decisions. • Mentor data engineers, BI developers, analysts, and client teams on architecture standards and best practices.

PREFERRED SKILLS • Experience designing analytics platforms for enterprise reporting and self-service BI. • Deep expertise in Power BI semantic models, governance, performance, and deployment lifecycle. • Strong data governance skills: metadata, lineage, classification, security, and compliance. • Experience leading architecture workshops, technical discovery, and modernization planning. • Hands-on experience with Fabric architecture: OneLake, Lakehouse, Warehouse, Data Factory, workspaces, security, and capacity planning. • Experience leading Microsoft Purview adoption or a Power BI Center of Excellence, including catalog, lineage, glossary, or reporting operating models. • Experience with Azure Data Lake, Azure SQL, Data Factory, Synapse, Databricks, Delta Lake, or enterprise integration tools. • Experience supporting AI and Copilot readiness, responsible data usage, and analytics modernization. • Fabric, Power BI, Azure Solutions Architect, Azure Data Engineer, or governance certifications are a plus.