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