Microsoft Fabric Architect | Azure Databricks

Job description

**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.