Datavail
Senior Data Architect
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ABOUT THE ROLE• Datavail is hiring a Senior Data Architect to lead the design and delivery of modern data platforms for our clients • You will own the architecture of client engagements from discovery through production, with a primary focus on Microsoft Fabric and the Azure data ecosystem • You will define target-state architectures, build the data models that underpin them, and establish the SDLC and DevOps practices that let client teams operate and extend what we deliver • This is a client-facing role • You will work directly with business stakeholders, client IT and security teams, and Datavail delivery teams of data engineers, analytics engineers and BI developers, often across several engagements at once RESPONSIBILITIES• Architecture and solution design • Lead discovery and current-state assessments of client data estates, including sources, integrations, platforms, data quality, security posture and operating model • Define target-state and transition architectures for analytics, data warehousing, Lakehouse, real-time and operational data workloads • Produce architecture deliverables: solution architecture documents, logical and physical architecture diagrams, architecture decision records (ADRs), non-functional requirements and capacity plans • Evaluate platform and build-versus-buy trade-offs across Fabric, Databricks, Azure Synapse Analytics and Azure SQL, and present recommendations with cost, risk and effort clearly stated • Apply the Azure Well-Architected Framework (reliability, security, cost optimization, operational excellence, performance efficiency) and the Cloud Adoption Framework's cloud-scale analytics guidance to every design • Design for scale and multi-domain ownership, including data mesh and hub-and-spoke patterns where they fit the client's organization • Plan and lead migrations from on-premises SQL Server, SSIS, SSAS and legacy data warehouses, and from Azure Synapse dedicated SQL pools, to Fabric and Azure • Lead architecture and design reviews, maintain reference architectures and standards, manage exceptions, and track technical debt Microsoft Fabric and Azure platform • Architect end-to-end Fabric solutions across OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Spark notebooks, Real-Time Intelligence (Eventstream, Eventhouse, KQL) and Power BI • Design OneLake strategy: workspace and domain structure, shortcuts to ADLS Gen2 and external storage, database mirroring, and medallion (bronze/silver/gold) layering on Delta Lake • Size and govern Fabric capacities (F SKUs), including workload isolation, capacity monitoring, throttling behavior and cost management • Forecast consumption, set budgets and tagging/showback standards, monitor unit economics, and optimize cloud/Fabric spend • Design Power BI semantic models for performance and scale, including Direct Lake, Import and DirectQuery storage modes, composite models, incremental refresh, and row-level and object-level security • Integrate Fabric with the wider Azure estate: ADLS Gen2, Azure Data Factory, Databricks and Unity Catalog, Azure SQL Database and Managed Instance, Cosmos DB, Event Hubs, Azure Functions and Azure Machine Learning • Design network and identity controls: Microsoft Entra ID, managed identities and service principals, Azure Key Vault, private endpoints and Private Link, managed virtual networks and workspace-level access • Data modeling • Own conceptual, logical and physical data models for client solutions, from business glossary through to deployed schemas • Apply the right modeling approach for each layer: Kimball dimensional modeling (star schemas, conformed dimensions, bus matrix, slowly changing dimensions Types 1, 2 and 6), Data Vault 2.