Microsoft Fabric Architect - Data Platform
Swathi Business Solutions
Role Overview :We are seeking an experienced Microsoft Fabric Architect to define, design, and govern enterprise-scale data platforms using Microsoft Fabric. This role focuses on end-to-end architecture, platform strategy, and governance, ensuring scalable, secure, and high-performing data ecosystems.Key Responsibilities :Data Architecture & Platform Strategy :- Define and implement enterprise data architecture leveraging Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, Real-Time Analytics).- Design modern data platform strategies including Medallion architecture (Bronze, Silver, Gold).- Architect scalable Lakehouse and Delta Lake solutions for unified storage and processing.- Establish data integration patterns for batch, micro-batch, and real-time ingestion.Solution Design & Engineering Oversight :- Provide architectural guidance for ETL/ELT pipelines using Fabric Data Factory and Spark.- Oversee development of PySpark, SQL, and notebook-based data solutions.- Define best practices for data modeling (Star schema, Data Vault, dimensional modeling).Governance, Security & Compliance :- Define and enforce data governance frameworks, including data lineage, cataloging, and metadata management.- Implement data security architectures (RBAC, data masking, encryption, access controls).- Drive cost governance and FinOps practices for Fabric environments.Performance & Optimization:- Architect solutions for high performance and scalability across large datasets.- Establish standards for query optimization, partitioning, and indexing strategies.- Design cost-efficient architectures using Fabric capacity and workload optimization techniques.Leadership & Stakeholder Engagement :- Act as a trusted advisor to business and technology leaders on data strategy.- Lead and mentor data engineers, leads, and solution architects.- Facilitate architecture reviews, design discussions, and governance boards.Required Skills :- Strong experience with Microsoft Fabric components (Lakehouse, Data Factory, Power BI, Real-Time Analytics).- Deep expertise in big data processing (Spark/PySpark).- Advanced knowledge of data modeling techniques (Dimensional, Data Vault, Medallion).- Proficiency in SQL, distributed data systems, and data orchestration frameworks.- Experience with Delta Lake and modern data lake architectures. (ref:hirist.tech)
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