{"id":3697699,"url":"https://alion.io/job/geeksoft-consulting-azure-data-platform-consultant","title":"Azure Data Platform Consultant","company":{"id":20414,"name":"GeekSoft Consulting","domain":"geeksoftconsulting.com","url":"https://alion.io/company/geeksoft-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rijswijk, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data 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years of experience in data architecture, data engineering, or enterprise Azure data platforms, with strong Microsoft Fabric architecture expertise.\nStrong expertise in Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models.\nDefine and own the target-state Microsoft Fabric architecture, including the supporting technology roadmap and architectural strategy.\nEstablish architecture standards across OneLake, Lakehouses, Data Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, Semantic Models, Power BI, PySpark, SQL, and Azure Data Factory.\nDesign and govern Medallion Architecture patterns across Bronze, Silver, and Gold layers, covering data ingestion, transformation, quality, and consumption.\nProvide architectural guidance on adopting Microsoft Fabric-native capabilities versus existing Azure data services.\nDesign scalable, secure, maintainable, and future-ready enterprise data platforms.\nDefine and implement data ownership, governance, security, privacy, compliance, and data stewardship frameworks.\nEstablish a trusted single source of truth through standardized data models, KPI definitions, and business metrics.\nImprove data quality, data lineage, metadata management, and reporting consistency across the organization.\nDrive CI/CD, Git integration, release management, deployment automation, and environment management best practices.\nLead platform optimization initiatives covering performance, scalability, workload management, and capacity planning.\nDrive data platform modernization and migration initiatives from legacy and on-premises environments to Microsoft Fabric and Azure.\nCollaborate with business stakeholders, enterprise architects, security teams, data engineers, and analytics and reporting teams to align platform investments with strategic objectives.\nProvide architectural leadership, technical guidance, and mentorship to data engineering, analytics, and reporting teams.\nIn-depth knowledge of Medallion Architecture and enterprise data ingestion, transformation, modelling, and consumption patterns.\nHands-on understanding of PySpark, Python, SQL, Spark SQL, and Azure Data Factory.\nStrong experience with Power BI architecture, semantic modelling, standardized KPI definitions, and reporting governance.\nExpertise in enterprise data modelling, data integration patterns, APIs, and data platform modernization.\nExperience defining and implementing data governance, ownership, stewardship, security, privacy, GDPR, and compliance controls.\nStrong understanding of data quality, lineage, metadata management, and master/reference data concepts.\nExperience with Azure DevOps, Git, CI/CD pipelines, release management, and deployment automation.\nKnowledge of performance optimization, workload management, scalability, and capacity planning.\nExcellent stakeholder management, communication, architectural documentation, and decision-making 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