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Job Description & How to Apply Below
We are seeking an experienced Technical Architect with deep expertise in Microsoft Fabric, data engineering, and enterprise data transformation to support a large-scale project decommissioning initiative. The successful candidate will play a critical role in transforming extracted project application data into scalable, business-ready datasets for reporting and operational continuity.
Key Responsibilities Design and implement end-to-end data ingestion and transformation pipelines.
Build scalable Microsoft Fabric data products using reusable design patterns.
Develop and optimize Fabric Data Factory pipelines and Spark-based notebook transformations.
Support medallion architecture implementations (Bronze / Silver / Gold layers).
Enable business-ready datasets for analytics and reporting requirements.
Ensure performance, scalability, monitoring, and observability across data platforms.
Collaborate with business stakeholders on reconciliation, validation, and data quality initiatives.
Contribute to enterprise data architecture and governance standards.
Required Skills & Experience Hands-on expertise with Microsoft Fabric (Lakehouse, Warehouse, Real-Time Analytics, Semantic Models)
One Lake architecture and medallion design
PySpark / Python for ELT & advanced transformations
Data Factory pipelines and notebook orchestration
Power BI Semantic Models and DAX
Batch and streaming ingestion (Event Hubs, Kafka, APIs)
SQL Server / APIs / SaaS integrations
Azure fundamentals (identity, networking, security)
Dev Ops practices including Git, CI/CD, and automation
Additional Requirements Minimum 4+ years of advanced Python development
Solid data warehousing and Lakehouse experience
Microsoft Fabric DP-700 certification preferred
Excellent communication and stakeholder management skills
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