Fabric Data Architect

Location: Pune / Nagpur / Remote

Experience: 8+ Years

Role: Fabric Data Architect

Domain: Enterprise Data & Analytics

About the Role

We are looking for an experienced Fabric Data Architect with strong hands-on expertise in Microsoft Fabric, OneLake, Lakehouse architecture, PySpark, SQL, and data pipelines.

The role will be responsible for designing and evolving scalable enterprise data architectures, building modern Lakehouse solutions, and enabling efficient data ingestion, transformation, storage, and analytics using the Microsoft Fabric ecosystem.

The ideal candidate should have strong end-to-end Data Architecture experience on Azure and be comfortable working across architecture, data engineering, modelling, pipelines, performance optimization, and technical solutioning.

Key Responsibilities

- Define and design scalable enterprise data architecture using Microsoft Fabric and Azure data services.
- Design and implement OneLake and Lakehouse architectures aligned with enterprise data requirements.
- Develop and optimize Medallion Architecture using Bronze, Silver, and Gold layers.
- Design scalable data ingestion and transformation pipelines using Fabric Data Factory / Azure Data Factory.
- Build and optimize data processing solutions using PySpark / Apache Spark.
- Develop complex SQL and T-SQL solutions for data transformation, integration, and analytics.
- Design and implement incremental data loading and CDC (Change Data Capture) strategies.
- Work with Delta Lake, Fabric Warehouse, Lakehouse, and OneLake to build modern data platforms.
- Define conceptual, logical, and physical data models based on business and technical requirements.
- Ensure data solutions are designed for performance,



scalability, reliability, maintainability, and cost optimization.
- Establish data architecture standards, design principles, and best practices.
- Implement appropriate security, access control, monitoring, logging, and governance mechanisms.
- Support integration of data from multiple enterprise and cloud sources.
- Work with development teams to ensure architecture and engineering standards are followed.
- Implement and maintain basic Git-based version control and CI/CD practices for data solutions.
- Troubleshoot data pipeline, performance, and architectural issues and provide scalable solutions.
- Document architecture, data flows, technical designs, and architectural decisions.
- Collaborate with business stakeholders, data engineers, architects, and technical teams to translate business requirements into technical solutions.

Must-Have Technical Skills The candidate should be solid hands-on in the following:

- Microsoft Fabric
- OneLake
- Fabric Lakehouse
- Delta Lake
- Fabric Warehouse
- PySpark / Apache Spark
- SQL / T-SQL
- Fabric Data Factory / Azure Data Factory
- Fabric Data Pipelines
- Medallion Architecture
- Incremental Data Loading
- CDC / Change Data Capture
- Data Architecture & Data Modelling
- Git / CI-CD fundamentals
- Data security, monitoring, and performance optimization

Required Qualifications





- 8+ years of experience in Data Engineering, Data Architecture, Data Warehousing, or related areas.
- Strong experience designing and implementing modern cloud data architectures.
- Proven hands-on experience with Microsoft Fabric and OneLake.
- Strong understanding of Lakehouse architecture and Delta Lake.
- Robust hands-on expertise in SQL and PySpark.
- Strong experience building enterprise-grade data pipelines using Azure Data Factory or Fabric Data Factory.
- Valuable understanding of Medallion Architecture and modern data engineering patterns.
- Experience with incremental loads, CDC, data transformation, and data integration.
- Experience with Fabric Warehouse and analytical data platforms.
- Understanding of Git, CI/CD, deployment and version-control practices.
- Good understanding of data security, monitoring, governance, and performance optimization.
- Strong analytical and problem-solving skills.
- Excellent communication skills with the ability to explain technical architecture to both technical and non-technical stakeholders.

What We Are Looking For

We are specifically looking for someone who can go beyond individual data engineering tasks and own the end-to-end data architecture.

The ideal candidate should be able to:

Architect → Design → Build → Optimize → Govern across the Microsoft Fabric ecosystem.

Candidates with strong Azure Data Architecture + Microsoft Fabric + hands-on engineering experience will be preferred.

Location & Travel

- Base location: Pune / Nagpur
- Remote candidates can also be considered.
- Willingness to work with global enterprise stakeholders is required.

📌 Fabric Data Architect (Pune)
🏢 Nice Software Solutions
📍 Pune