Job description

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.

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