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MICROSOFT FABRIC ARCHITECT REQUIRED FOR OUR MNC CLIENT IMMEDIATELY:-
Experience: 10 – 12 YEARS
Location: PAN INDIA
CTC TO BE OFFERED : Mention Your Current & Expected CTC
Notice Period: IMMEDIATE
KeySkills
CORE MICROSOFT FABRIC, MICROSOFT FABRIC COMPONENTS, DATA ARCHITECTURE & PLATFORM STRATEGY, ENTERPRISE DATA ARCHITECTURE, MODERN DATA ARCHITECTURE, DATA ENGINEERING & PROCESSING, BIG DATA TECHNOLOGIES, DATA INTEGRATION, DATA MODELING, MODELING TECHNIQUES, GOVERNANCE, SECURITY & COMPLIANCE, DATA GOVERNANCE, SECURITY, PERFORMANCE & OPTIMIZATION, PERFORMANCE ENGINEERING, FINOPS, ANALYTICS & BI SKILLS, BUSINESS INTELLIGENCE, AI/ML INTEGRATION, LEADERSHIP & ARCHITECTURE, ARCHITECTURE RESPONSIBILITIES, LEADERSHIP SKILLS, INNOVATION & CONTINUOUS IMPROVEMENT
Job Description
- 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-eRicient 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.
Note
(i) Our client is looking for immediate & early joiners.
(ii) Having LinkedIn Profile is a must.
(iii) Being An Immediate & High Priority Requirement Interested Candidates Can Share Their Resumes With Photograph In Word Doc. Format And The Details Are Enclosed As Below
To Apply
Name*
Email*
Mobile Number*
Current Location*
Total Experiance*
Attach Resume (Accept only pdf,doc,docx)*
ARUN.T
91- 44 - 2999 4354
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www.swathisolutions.com
