Technical Architect; Data

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.

• 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.

• 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

• 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