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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Fabric Architect - **Company:** Momento USA LLC - **Location:** Charlotte, NC, United States (Remote available) - **Experience:** Expert - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Data Analysis, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Transformation, DevOps, Metadata, Metadata Standards, Cloud Services, DataOps, Systems Integration, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Microsoft Fabric, Data Lakes, Information Technology, Data Management, Azure Synapse Analytics, Databricks - **Published:** August 14, 2026 - **Apply:** https://www.careerjet.com/jobad/us5b7f2b1d1f984d1da6ccec850a85ac61 ## About the Role 12 18 years overall experience with at least 7+ years in Enterprise Data Architecture, Cloud Data Platforms, Data Engineering, or Analytics Architecture., Education: Bachelor's degree in engineering, Computer Science, or Information Technology ## Description We are seeking an experienced Enterprise Fabric Architect to lead architecture strategy, onboarding standards, and platform governance for a large-scale Microsoft Fabric enterprise data acquisition and operationalization program. The role will focus on defining scalable architecture patterns for onboarding enterprise data into Microsoft Fabric Bronze and Silver layers while enabling downstream analytics, reporting, semantic modeling, and AI initiatives. The Enterprise Fabric Architect will act as the primary architecture authority for the Fabric platform and will drive enterprise-wide standards for ingestion, operationalization, governance, metadata, lineage, and reusable onboarding frameworks. This role requires deep expertise in modern cloud data platforms, enterprise architecture, data engineering, governance frameworks, and large-scale platform operationalization. Responsibilities: Enterprise Architecture Define enterprise-wide MS Fabric strategy, onboarding standards, scalable architecture patterns for data acquisition and operationalization. Drive architecture governance across Medallion layers ensuring consistency through reusable ingestion frameworks and templates. Lead technical reviews, establishing rigorous standards for scalability, resiliency, security, performance across all squads. MS Fabric Architecture Architect Lakehouse, Warehouse, OneLake, semantic enablement layers to support enterprise-scale analytics and AI initiatives. Standardize ingestion pipelines and reusable data products, optimizing platform stability and operational efficiency through expert design. Operationalize master data onboarding and source system integration, ensuring architectural alignment with downstream reporting and modeling needs. Data Governance & Standards Establish governance frameworks for metadata, lineage, and ownership, implementing "governance-lite" guardrails that balance delivery speed with enterprise controls. Define observability and monitoring standards to ensure data quality and architectural compliance with security and regulatory policies. Stakeholder Management Serve as primary advisor for data transformation initiatives, partnering with executive leadership to define the strategic roadmap. Align architecture with delivery, align with DMs to bridge strategy with execution while mentoring Architects, Engineers, Data Modelers. Requirements: Skills, Expertise & Success Metrics Mandatory Skills Strategic Leadership: Proven experience designing and leading enterprise-scale Cloud Data Platforms and Data Engineering architectures. Architectural Mastery: Expert-level knowledge of Microsoft Fabric, modern Lakehouse architectures, and Medallion Architecture principles. Operational Excellence: Skilled in building scalable onboarding frameworks, managing metadata/lineage, and implementing robust operational controls. Executive Communication: Strong stakeholder management skills with the ability to lead discussions at the executive level. Technical Stack Platforms: Microsoft Fabric (OneLake, Lakehouse, Warehouse), Azure Synapse, Snowflake, and Databricks. Data Engineering: Delta Lake, Spark, dbt, and Azure Data Factory. Governance & DevOps: Microsoft Purview, Metadata frameworks, CI/CD, and DataOps practices. Modeling: Power BI Semantic Models. Key Success Measures Onboarding & Adoption: Successful integration of enterprise datasets into Fabric and high adoption of Silver-layer datasets by domain teams. Standardization: High reuse of onboarding patterns and consistent architecture across all squads and domains. Performance: Enhanced platform scalability, operational stability, and a measurable reduction in onboarding cycle times. Compliance: Strict adherence to enterprise governance and metadata standards. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)