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.