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# Azure Data Platform Consultant

- **Company:** GeekSoft Consulting
- **Location:** Rijswijk, Netherlands
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Architectural Patterns, Microsoft Azure, Big Data, Software Code Optimization, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Apache Hive, Python (Programming Language), Meta-Data Management, Performance Tuning, Reference Data, Release Management, Power BI, Azure Data Lake, SQL Databases, Enterprise Data Management, Data Ingestion, Azure Data Factory, Git, Microsoft Fabric, Pyspark, Data Lineage, Deployment Automation, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.adzuna.nl/details/5952141732

## About the Role

* 8+ years of experience in data architecture, data engineering, or enterprise Azure data platforms, with strong Microsoft Fabric architecture expertise.
 * Strong expertise in Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.
 * Define and own the target-state Microsoft Fabric architecture, including the supporting technology roadmap and architectural strategy., * In-depth knowledge of Medallion Architecture and enterprise data ingestion, transformation, modelling, and consumption patterns.
 * Hands-on understanding of PySpark, Python, SQL, Spark SQL, and Azure Data Factory.
 * Strong experience with Power BI architecture, semantic modelling, standardized KPI definitions, and reporting governance.
 * Expertise in enterprise data modelling, data integration patterns, APIs, and data platform modernization.
 * Experience defining and implementing data governance, ownership, stewardship, security, privacy, GDPR, and compliance controls.
 * Strong understanding of data quality, lineage, metadata management, and master/reference data concepts.
 * Experience with Azure DevOps, Git, CI/CD pipelines, release management, and deployment automation.
 * Knowledge of performance optimization, workload management, scalability, and capacity planning.
 * Excellent stakeholder management, communication, architectural documentation, and decision-making skills.
 * Experience with Microsoft Purview and Microsoft Fabric governance.
 * Knowledge of Azure Synapse Analytics, Azure Data Lake, or Databricks.
 * Experience establishing enterprise operating models for data platforms.
 * Proven experience leading large-scale data transformation and modernization programmes.
 * Relevant Microsoft Azure, Fabric, Data Architecture, or Power BI certifications.

## Description

* Help design, build and continuously improve the clients online platform.
 * Research, suggest and implement new technology solutions following best practices/standards.
 * Take responsibility for the resiliency and availability of different products.
 * Be a productive member of the team., * Establish architecture standards across OneLake, Lakehouses, Data Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, Semantic Models, Power BI, PySpark, SQL, and Azure Data Factory.
 * Design and govern Medallion Architecture patterns across Bronze, Silver, and Gold layers, covering data ingestion, transformation, quality, and consumption.
 * Provide architectural guidance on adopting Microsoft Fabric-native capabilities versus existing Azure data services.
 * Design scalable, secure, maintainable, and future-ready enterprise data platforms.
 * Define and implement data ownership, governance, security, privacy, compliance, and data stewardship frameworks.
 * Establish a trusted single source of truth through standardized data models, KPI definitions, and business metrics.
 * Improve data quality, data lineage, metadata management, and reporting consistency across the organization.
 * Drive CI/CD, Git integration, release management, deployment automation, and environment management best practices.
 * Lead platform optimization initiatives covering performance, scalability, workload management, and capacity planning.
 * Drive data platform modernization and migration initiatives from legacy and on-premises environments to Microsoft Fabric and Azure.
 * Collaborate with business stakeholders, enterprise architects, security teams, data engineers, and analytics and reporting teams to align platform investments with strategic objectives.
 * Provide architectural leadership, technical guidance, and mentorship to data engineering, analytics, and reporting teams.