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.

WHAT WE OFFER

• 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.