Data Architect (Microsoft Fabric)

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.

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.

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.

Competitive salary.

Opportunity to lead Fabric, Power BI, Purview, and AI-readiness strategy for Integratz's enterprise data warehouse modernization program.

Ownership of a named, repeatable architecture method, applied end-to-end on this engagement rather than a one-off design task.

High-impact consulting role influencing modernization, analytics operating models, and executive data strategy.

Flexible, primarily remote work environment.

Collaborative, inclusive, multicultural team culture, with opportunities to mentor engineers and shape Integratz's data practice.

Growth path into principal architecture, data strategy, governance, or analytics advisory roles, with access to certifications and cutting-edge tools.