Microsoft Fabric & Azure Data Platform Developer(ID: 4078)

As a Microsoft Fabric & Azure Data Platform Developer, you will:

• Design and develop enterprise data platforms using Microsoft Fabric and Azure data services.
  
• Define architecture across OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
  
• Design and implement Medallion Architecture for enterprise data ingestion, transformation, modelling, and consumption.
  
• Develop and optimize data solutions using PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
  
• Design Power BI architecture and semantic models, including standardized KPI definitions and reporting governance.
  
• Define enterprise data modelling, integration patterns, APIs, and data platform modernization strategies.
  
• Establish and support data governance, ownership, stewardship, security, privacy, GDPR, and compliance controls.
  
• Implement practices for data quality, data lineage, metadata management, and master/reference data management.
  
• Support Azure DevOps, Git, CI/CD, release management, and deployment automation.
  
• Optimize data-platform performance through workload management, scalability, performance tuning, and capacity planning.
  
• Work closely with stakeholders to understand business and technical requirements and translate them into scalable data-platform solutions.
  
• Produce clear architecture documentation and contribute to technical decision-making.
  

What You Bring to the Table:

• 4–6 years of overall professional experience in data engineering, data platform development, data architecture, or a closely related field.
  
• Strong architecture experience with Microsoft Fabric and enterprise Azure data platforms.
  
• Hands-on expertise with Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
  
• Strong understanding of Medallion Architecture and enterprise data ingestion, transformation, modelling, and consumption patterns.
  
• Hands-on experience with PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
  
• Experience with Power BI architecture, semantic modelling, KPI standardization, and reporting governance.
  
• Strong knowledge of enterprise data modelling, integration patterns, APIs, and data-platform modernization.
  
• Experience with data governance, data ownership, stewardship, security, privacy, GDPR, and compliance.
  
• Understanding of data quality, lineage, metadata management, and master/reference data concepts.
  
• Experience with Azure DevOps, Git, CI/CD, release management, and deployment automation.
  

You should possess the ability to:

• Design scalable and maintainable Microsoft Fabric and Azure data architectures.
  
• Translate business and technical requirements into effective data-platform architecture and implementation approaches.
  
• Design robust data ingestion, transformation, modelling, and consumption pipelines.
  
• Apply Medallion Architecture effectively across enterprise data solutions.
  
• Develop and optimize data processing solutions using PySpark, Python, SQL, and Spark SQL.
  
• Design effective Power BI semantic models and establish consistent KPI definitions.
  
• Implement appropriate data governance, security, privacy, GDPR, and compliance controls.
  
• Identify and resolve data quality, performance, scalability, and workload-management issues.
  
• Implement automated CI/CD and deployment processes using Azure DevOps and Git.
  
• Document architecture, technical decisions, integration patterns, and platform standards clearly.
  
• Communicate effectively with technical and business stakeholders and make sound architectural decisions.
  

What we bring to the table:

• An opportunity to work on modern enterprise data platforms using Microsoft Fabric and Azure.
  
• Exposure to advanced data architecture, analytics, data governance, and platform modernization initiatives.
  
• The opportunity to work with OneLake, Lakehouse, Data Warehouse, Power BI, Azure Data Factory, and modern data engineering technologies.
  
• A role involving architecture, hands-on data engineering, governance, performance optimization, and stakeholder collaboration.
  

Let’s Connect:

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Giftson Paul Davidson
Phone: +31 20 369 0609 ; Extn : 151
Email: giftson.p@stafide.nl
LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/