Microsoft Fabric Architect 12+ Years

Microsoft Fabric Architect

Note: We are open to hiring consultants / C2H / Full-Time Employees for this role.

Experience: 12+ yrs

Location: Thoraipakkam – OMR, Chennai / Remote

Project Duration – 6 Months

Work Mode: Hybrid / Remote

Shift: UK ( 11:30 AM to 8:30 PM )

Budget: ₹2.5 Lacs per month for Consultant / ₹35 LPA for Full-Time Employee.

Notice: Looking only for Immediate joiners

Levels Of Interview

• Technical Interview – Internal
• Managerial Interview – Internal
• HR Discussion
  
  

Job Title: Microsoft Fabric Architect

Role Overview

We are seeking an experienced Microsoft Fabric Architect to define, design, and govern enterprise-scale data platforms using Microsoft Fabric. This role goes beyond engineering execution and focuses on end-to-end architecture, platform strategy, and governance, ensuring scalable, secure, and high-performing data ecosystems.

As a Fabric Architect, you will be responsible for driving architectural decisions, establishing data standards, and enabling analytics transformation at scale. You will work closely with business leaders, data engineers, analysts, and platform teams to build a unified, future-ready data estate.

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.
• Lead platform selection, design standards, and reference architectures.
  
  

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).
• Ensure alignment between data engineering, BI, and AI/ML workloads.
• Review and approve solution designs to ensure adherence to enterprise standards.
  
  

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).
• Ensure compliance with organizational policies and regulatory requirements.
• Establish data quality, validation, and observability frameworks.
• 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.
• Monitor and optimize platform performance across storage, compute, and pipelines.
  
  

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.
• Translate business goals into scalable and actionable technical architectures.
• Drive adoption of Fabric and modern data practices across the organization.
  
  

Innovation & Continuous Improvement

• Stay current with Microsoft Fabric roadmap and emerging technologies.
• Introduce innovations in real-time analytics, AI integration, and unified analytics platforms.
• Drive continuous improvement in architecture patterns, tooling, and frameworks.
• Define reusable components, accelerators, and templates.
  
  

Required Skills & Qualifications

Technical Expertise

• 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.
  
  

[Confidential Information]

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