Azure Data Platform Consultant
Posted
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.
Requirements
- 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.
- 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.
- 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.
Benefits
Fixed Term Employment Contract
Work-Life Balance
Flexible Work Mode
What GeekSoft Consulting Offers
- International, collaborative consulting culture with clear career development paths.
- Comprehensive Dutch benefits package emphasizing well-being, mobility, and career growth.
Skills
- Analytics
- API
- Automation
- Azure
- Azure Data Factory
- Azure DevOps
- Azure Synapse
- CI/CD
- Data Engineering
- Data Governance
- Data Ingestion
- Data Lake
- Data Lineage
- Data Modeling
- Data Pipelines
- Data Quality
- Data Warehousing
- Databricks
- DevOps
- Gdpr
- Git
- Lakehouse
- Medallion Architecture
- Metadata Management
- Microsoft Fabric
- Microsoft Purview
- Power BI
- PySpark
- Python
- Spark
- SQL
- Stakeholder Management