Microsoft Fabric Architect | Azure Databricks

Data Architect / Senior Data Architect Microsoft Fabric & Azure

Experience: 8 - 15 Years
Location: Bangalore | Chennai | Delhi (Hybrid)

About Tiger Analytics

Tiger Analytics is a global AI and analytics consulting firm helping Fortune 1000 organizations solve their toughest business challenges through data, cloud, and artificial intelligence. We build next-generation data platforms that enable organizations to make faster, smarter, and more informed decisions.

We are looking for experienced Data Architects / Senior Data Architects with deep expertise in Microsoft Fabric, Azure Data Engineering, and Databricks to architect and deliver enterprise-scale cloud data platforms.

Role Overview

As a Data Architect, you will lead the architecture, design, and implementation of modern data platforms built on Microsoft Fabric and Azure. You will work closely with enterprise customers, business stakeholders, and engineering teams to design scalable, secure, and high-performance Lakehouse and Data Warehouse solutions that power enterprise analytics and AI initiatives.

This is a hands-on leadership role requiring strong architecture expertise, technical excellence, customer engagement, and mentoring capabilities.

Key Responsibilities

• Architect enterprise-scale Microsoft Fabric and Azure data platforms.
• Design end-to-end Lakehouse solutions using OneLake, Fabric Lakehouse, Fabric Warehouse, and Delta Lake.
• Build scalable ETL/ELT frameworks using Fabric Pipelines, Dataflows Gen2, Spark Notebooks, Azure Data Factory, and PySpark.
• Design Medallion Architecture (Bronze, Silver, Gold) and metadata-driven ingestion frameworks.
• Develop enterprise data models using Star Schema, Snowflake Schema, Dimensional Modeling, and Semantic Models.
• Define architecture standards for security, governance, monitoring, CI/CD, deployment, and operational excellence.
• Optimize Microsoft Fabric workloads for performance, scalability, reliability, and cost efficiency.
• Drive cloud modernization and migration initiatives from Azure Synapse, Azure Data Factory, Databricks, SQL Server, and legacy platforms to Microsoft Fabric.
• Collaborate with enterprise architects, business stakeholders, product owners, and delivery teams throughout the solution lifecycle.
• Mentor engineering teams and establish best practices for design, development, testing, and deployment.

Required Skills

• Microsoft Fabric
• OneLake
• Fabric Lakehouse
• Fabric Warehouse
• Fabric Pipelines
• Dataflows Gen2
• Spark Notebooks
• Azure Databricks
• PySpark
• Spark SQL
• SQL
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS Gen2)
• Azure Synapse Analytics
• Delta Lake
• Medallion Architecture
• Data Modeling
• Dimensional Modeling
• Star Schema
• Snowflake Schema
• Power BI & Semantic Models
• Azure DevOps
• Git
• CI/CD
• Performance Tuning
• Solution Architecture

Preferred Skills

• Microsoft Purview
• Unity Catalog
• Fabric Deployment Pipelines
• Azure Key Vault
• Delta Live Tables (DLT)
• Event Streaming & Real-Time Analytics
• Azure Event Hubs
• Terraform / Infrastructure as Code
• Azure OpenAI
• AI Agents / RAG
• Microsoft Fabric AI capabilities

What We're Looking For

• 815 years of experience in Data Engineering, Cloud Data Platforms, or Data Architecture.
• Proven expertise in designing and delivering enterprise-scale Microsoft Fabric and Azure solutions.
• Strong stakeholder management, consulting, and communication skills.
• Hands-on experience leading technical teams and mentoring engineers.
• Ability to translate complex business requirements into scalable cloud architectures.
• Strong understanding of modern data engineering best practices, governance, and cloud security.

Why Join Tiger Analytics?

• Architect enterprise-scale Microsoft Fabric and Azure solutions for global Fortune 1000 clients.
• Work on cutting-edge AI, Lakehouse, and modern cloud data platforms.
• Collaborate with industry-leading architects and engineering experts.
• Accelerate your career through continuous learning, certifications, and innovation-driven projects.
• Be part of an award-winning culture that values excellence, ownership, and continuous growth.