Enterprise Fabric Architect

Position : Enterprise Fabric Architect Microsoft Fabric

Location Charlotte, NC (Preferred) or Remote

Any Visa

12 18 years overall experience with at least 7+ years in Enterprise Data Architecture, Cloud Data Platforms, Data Engineering, or Analytics Architecture.

Role Overview

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.

Performanc e: Enhanced platform scalability, operational stability, and a measurable reduction in onboarding cycle times.

Compliance: Strict adherence to enterprise governance and metadata standards.

Education: Bachelor's degree in engineering, Computer Science, or Information Technology

Amaresh

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