Senior Data Architect - Microsoft Fabric & Azure - Remote Europe

We are looking for aSenior Data Architectto lead the architecture and evolution of an enterprise data platform built onMicrosoft Fabric and Microsoft Azure.This is a strategic technical leadership role combiningenterprise data architecture, Microsoft Fabric, cloud data platforms and team leadership. You will define architectural standards, shape the data platform roadmap and lead technical teams delivering scalable, secure and governed data solutions.EU candidates are welcome to apply. Candidates need to be based in Europe. Work permit is not providedRemote in Europe - Employee or Contractor - Fluent English - Work permit not providedTasks and ResponsibilitiesDefine the long-termenterprise data architectureand data platform roadmap, aligned with business and organizational objectives;Architect enterprise-scale solutions usingMicrosoft Fabric and Microsoft Azure, including Lakehouses, Warehouses, Data Factory, Power BI and Real-Time Intelligence;Designlakehouse, medallion and data mesh architectures, including standards for ingestion, processing, storage, security, governance and data quality;Lead and mentor Data Platform DevOps, data engineering and report development teams, providing architecture guidance, reviews and technical coaching;Establish architectural standards forETL/ELT, data integration, security, RBAC, metadata management, scalability, disaster recovery and business continuity;Guide platform engineering and DevOps practices, includingCI/CD, infrastructure automation, observability, monitoring and capacity planning;Drive data governance and architectural decision-making, working with business, technical, governance and compliance stakeholders;Present architecture strategies and recommendations to senior stakeholders, translating complex technical decisions into business impact.ProfileBachelor’s or Master’s degree;10+ years of experiencein data architecture, data engineering or enterprise architecture;5+ years of experience leading technical teamsand driving architectural decisions in enterprise environments;5+ years of hands-on experience with cloud platforms, including Azure, AWS or GCP;3+ years of experience with Microsoft Azure and Microsoft Fabric or related Microsoft data solutions, including OneLake, Lakehouses, Warehouses, Data Factory, Power BI, Real-Time Intelligence or Azure Synapse;Proven experience designing and implementingenterprise-scale data architecturesfor complex, mission-critical environments;Strong expertise indata lakehouse architecture, medallion patterns, ETL/ELT, data pipelines, data modelling and data governance;Experience developing data pipelines usingPySpark and SQL;Strong understanding ofCI/CD, Azure DevOps, Infrastructure as Code (IaC), security, IAM, data quality and metadata management;Experience withdata mesh, self-service data platforms, multi-region or multi-cloud architectures, Microsoft Purview, Kubernetes, real-time analytics, MLOps or Data Vaultwould be an advantage.Microsoft Azure, Microsoft Fabric or Power BI certifications would be an advantage.Key Technologies & Skills#J-*****-Ljbffr

Bachelor’s or Master’s degree; 10+ years of experience in data architecture, data engineering or enterprise architecture; 5+ years of experience leading technical teams and driving architectural decisions in enterprise environments; 5+ years of hands-on experience with cloud platforms , including Azure, AWS or GCP; 3+ years of experience with Microsoft Azure and Microsoft Fabric or related Microsoft data solutions , including OneLake, Lakehouses, Warehouses, Data Factory, Power BI, Real-Time Intelligence or Azure Synapse; Proven experience designing and implementing enterprise-scale data architectures for complex, mission-critical environments; Strong expertise in data lakehouse architecture, medallion patterns, ETL/ELT, data pipelines, data modelling and data governance ; Experience developing data pipelines using PySpark and SQL ; Strong understanding of CI/CD, Azure DevOps, Infrastructure as Code (IaC), security, IAM, data quality and metadata management ; Experience with data mesh, self-service data platforms, multi-region or multi-cloud architectures, Microsoft Purview, Kubernetes, real-time analytics, MLOps or Data Vault would be an advantage. Microsoft Azure, Microsoft Fabric or Power BI certifications would be an advantage. Key Technologies & Skills #J-*****-Ljbffr