["Architect II - Enterprise Solutions","Architect II - Enterprise Solutions"]

Architect II - Enterprise Solutions

This role develops and owns end-to-end solution design strategies for the enterprise Semantic Layer program, built on Microsoft Fabric and Power BI. The Solutions Architect leads semantic model design across business workstreams ensuring models are governed, certified, and compliant with SOX and enterprise data standards. The role bridges technical implementation (Microsoft Fabric, Power BI, third-party BI platforms, and Anthropic/AI tooling) with stakeholder alignment across Finance, Operations, Marketing, and Technology. Success is measured by the delivery of certified, trusted semantic models that enable self-service analytics across the organization. The work directly enables data-driven decision-making by establishing a governed, reusable, and interoperable semantic layer.

Main Responsibilities:

• Responsibility % of Time Semantic Model Architecture & Workstream Enablement Design, build, and own semantic models in Microsoft Fabric (Direct Lake, composite models, and import mode) for each business workstream including Finance, Operations, Marketing, HR, and Technology.
• Establish workstream-specific model standards, certified dataset patterns, and reusable measure libraries. 30% Governance, Certification & SOX Compliance Define and enforce semantic layer governance frameworks including dataset certification workflows, row-level security (RLS), object-level security (OLS), and sensitivity label policies.
• Partner with Audit and Finance to ensure SOX-compliant lineage, access controls, and change management processes for financial reporting models. 25% Tool Integration: BI Platforms, Anthropic & Downstream Consumers Architect interoperability between Microsoft Fabric semantic models and downstream consumption tools including third-party BI platforms (Tableau, Qlik Sense, MicroStrategy, Grafana, and others), Anthropic-based AI/LLM applications (Claude), and Excel.
• Define connectivity patterns, query optimization strategies, and security passthrough standards for each integration channel. 20% Stakeholder Alignment & Technical Advisory Engage workstream leads, data owners, and senior management to translate business requirements into semantic model designs.
• Lead architectural trade-off discussions and present options for data modeling approaches (star schema, composite models, aggregation tables).
• Serve as the primary point of escalation for semantic layer design decisions. 15% Other Duties Other duties/projects as assigned by business management.

Qualifications:

• Education Equivalent Experience Required Preferred Bachelor's Degree 7+ years related experience, or equivalent combination.
• Acceptable fields: Computer Science, IT, Computer Engineering, Data Engineering, or related.

Required & Preferred:

• Experience Years Experience Required Preferred[RATE REDACTED]yrs Progressive experience in enterprise data architecture, analytics engineering, or BI platform leadership.
• [RATE REDACTED]yrs Hands-on experience with Microsoft Fabric including Lakehouses, Direct Lake semantic models, Dataflows Gen2, Data Pipelines, and the Fabric OneLake architecture.
• [RATE REDACTED]yrs Power BI semantic model development: DAX authoring, composite models, aggregation tables, incremental refresh, and deployment pipelines.
• [RATE REDACTED]yrs Governance experience: dataset certification, workspace governance, RLS/OLS implementation, sensitivity labels, and data catalog/governance tooling integration (e.g., Microsoft Purview, Alation, Collibra, or equivalent).
• [RATE REDACTED]yrs SOX compliance for financial data systems including audit trail design, change management controls, access reviews, and lineage documentation.
• [RATE REDACTED]yrs Experience connecting third-party BI and analytics tools (e.g., Tableau, Qlik Sense, MicroStrategy, Grafana) to XMLA-compatible semantic models including live connection architecture, security passthrough, and performance tuning.
• [RATE REDACTED]yrs Experience integrating AI/LLM tools (e.g., Anthropic Claude, Azure OpenAI) with structured data sources or semantic layer APIs for natural language querying or embedded analytics.
• [RATE REDACTED]yrs Experience leading solution architecture and design reviews across multiple business workstreams with demonstrated executive presence.
• X Key Focus Areas Microsoft Fabric & Semantic Model Platform Architect and govern the enterprise semantic layer in Microsoft Fabric, including Direct Lake models on OneLake, composite model strategies, and Power BI Premium/Fabric capacity planning
• Define standards for model partitioning, incremental refresh, and aggregation table patterns to meet performance SLAs across diverse workstreams
• Own deployment pipeline strategy across Dev / Test / Prod Fabric workspaces, including Git integration, XMLA scripting, and Tabular Editor automation
• Establish DAX coding standards, measure naming conventions, and reusable calculation groups shared across workstream models
• Workstream Semantic Model Delivery Partner with Finance, Operations, Marketing, HR, and Technology workstream leads to gather requirements and deliver purpose-built certified semantic models
• Document business glossary mappings, metric definitions, and lineage for each workstream model to support self-service analytics and reduce shadow
• IT Facilitate model reviews and sign-off with data owners, ensuring models meet certification criteria before promotion to production Governance, Certification & SOX Compliance
• Define the end-to-end dataset certification process: quality gates, ownership assignment, certification badges, and renewal cadence Implement row-level security (RLS) and object-level security (OLS) patterns aligned to organizational access control policies and RBAC structures
• Design SOX-compliant data lineage and change management controls for financial semantic models including audit trails, access reviews, and separation of duties
• Integrate with enterprise data catalog and governance tooling (evaluation in progress candidates may include Microsoft Purview, Alation, Collibra, or equivalent) for data lineage, sensitivity labeling, and compliance monitoring across Fabric workspaces Tool Integration: BI Platforms, Anthropic & Other Consumers Architect connectivity between Fabric semantic models and third-party BI and analytics tools (including Tableau, Qlik Sense, MicroStrategy, Grafana, and others) via XMLA endpoints, OData, or direct query APIs optimizing live connection performance, pass-through security, and certified dataset reuse across consumption platforms
• Define integration patterns for Anthropic Claude and other LLM-based tools to query semantic layer data safely, including prompt-to-DAX patterns, scoped data access, and output validation
• Support Excel, Power BI Desktop, and other BI tools in consuming shared certified models, and document connectivity guides for each consumer type Advise on emerging AI-augmented analytics use cases that leverage the semantic layer as a governed data foundation for natural language interfaces

TekWissen® Group is an equal opportunity employer supporting workforce diversity.