Fabric Architect

JD:

We are seeking an experienced Microsoft Fabric Architect to lead the design, implementation, and optimization of enterprise-scale data and analytics platforms using Microsoft Fabric. The ideal candidate will have deep expertise in data architecture, data engineering, analytics, governance, and cloud platforms, with a strong focus on building scalable, secure, and high-performance data solutions.

The candidate will be responsible for architecting end-to-end data platforms leveraging Microsoft Fabric components, including Data Factory, Data Engineering, Data Warehouse, Lakehouse, Real-Time Analytics, Power BI, and OneLake.

Key Responsibilities

• •Design and implement enterprise-scale data and analytics architectures using Microsoft Fabric.
• •Define the overall data strategy, architecture standards, and best practices for modern data platforms.
• •Architect and implement Lakehouse and Data Warehouse solutions using Microsoft Fabric.
• •Design and optimize data ingestion, transformation, and orchestration pipelines.
• •Develop scalable data models and semantic models to support business intelligence and analytics requirements.
• •Integrate data from various sources, including cloud, on-premises, SaaS, and third-party applications.
• •Design data governance, security, compliance, and data quality frameworks.
• •Lead migration initiatives from legacy platforms such as SQL Server, Azure Synapse, Databricks, Snowflake, and traditional data warehouses to Microsoft Fabric.
• •Architect real-time analytics and streaming solutions.
• •Collaborate with business stakeholders, data engineers, BI developers, and enterprise architects to define solution roadmaps.
• •Establish performance optimization, monitoring, and operational excellence standards.
• •Provide technical leadership, mentoring, and architecture governance.

Required Skills

• •10+ years of experience in Data Engineering, Data Architecture, and Analytics platforms.
• •Strong hands-on experience with Microsoft Fabric, including:
• •OneLake
• •Data Factory
• •Lakehouse
• •Data Warehouse
• •Data Engineering
• •Real-Time Analytics
• •Power BI
• •Data Activator

• •Extensive experience with Azure cloud services, including:
• •Azure Data Factory
• •Azure Synapse Analytics
• •Azure Data Lake Storage
• •Azure SQL
• •Azure Event Hub
• •Azure Functions

• •Strong expertise in:
• •Data Modeling
• •Data Warehousing
• •ETL/ELT Architecture
• •Lakehouse Architecture
• •Medallion Architecture

• •Advanced SQL and Python programming skills.
• •Experience with Spark, PySpark, and distributed data processing frameworks.
• •Strong understanding of data governance, security, lineage, and compliance.
• •Experience designing scalable enterprise data platforms.

Preferred Skills

• •Experience migrating workloads from Databricks, Synapse, Snowflake, or traditional data warehouses to Microsoft Fabric.
• •Knowledge of AI/ML integration within Microsoft Fabric ecosystems.
• •Experience with CI/CD pipelines, DevOps, and Infrastructure as Code.
• •Experience with data cataloguing, master data management, and data quality frameworks.
• •Familiarity with enterprise architecture frameworks and governance models.