Senior Data Architect

About the Role
We are seeking a highly skilled  Data Architect  with deep expertise in the  Microsoft Azure ecosystem and Microsoft Fabric  to design, build, and optimize scalable data pipelines and  Medallion lakehouse architectures . The candidate will provide thought leadership in transitioning legacy environments to unified Fabric work spaces, delivering robust, secure, and high-performance solutions that empower AI and analytics.

Key Responsibilities
Fabric & Lakehouse Implementation:  Design and maintain unified data environments using  Microsoft Fabric (One Lake, Lake houses, and Warehouses)  and Azure Synapse.
Pipeline Orchestration:  Develop scalable data pipelines using  Fabric Data Factory  and Azure Data Factory to ingest data from diverse sources (APIs, On-premises, Cloud).
Architecture Optimization:  Build and optimize  Medallion architectures (Bronze/Silver/Gold)  using Delta Lake and  Fabric Notebooks (Spark) .
Thought Leadership:  Work with stakeholders to translate business requirements into technical roadmaps, specifically advising on when to use  Fabric vs. Azure Databricks .
Unified Governance:  Leverage  Microsoft Purview  and Fabric’s native security features to ensure data quality, consistency, and RBAC/Sensitivity labeling.
Infrastructure & Automation:  Implement Infrastructure as Code (IaC) using Terraform or Bicep for automated provisioning of Fabric capacities and Azure resources.
Advanced Analytics Support:  Design  Star Schemas  and utilize  Direct Lake mode  in Power BI to provide high-performance reporting for data scientists and analysts.

Required Technical Skills
Microsoft Fabric Ecosystem:  Expert-level knowledge of  One Lake, Fabric Capacities, Lakehouse/Warehouse artifacts, and Shortcuts.
Azure Data Services:  Proven experience with Azure Data Factory,  Azure Databricks , and Azure Data Lake Storage Gen
2.
Data Processing:  Strong proficiency in  PySpark (Spark SQL & Data Frames)  for complex transformations and performance tuning.

Languages:

Advanced  SQL  and  Python  skills for pipeline development and orchestration.
Dev Ops & IaC:  

Experience with  Terraform/Bicep  and CI/CD practices using Azure Dev Ops or Git Hub Actions.
Real-Time Data:  

Experience with streaming data using  Fabric Eventstreams  or Azure Event Hubs.

Soft Skills & Mindset
Strategic Thinking:  Ability to navigate the evolving Microsoft roadmap and choose the right tool for the specific scale/cost requirement.

Collaboration:

Strong ability to bridge the gap between "Pro-code" engineering and "Low-code" analytics users.
Communication:  Robust client management skills with the ability to explain complex cloud architectures to non-technical stakeholders.