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Résumé du poste

Design and guide modern enterprise data platforms using Microsoft Fabric, covering the full data lifecycle from ingestion to analytics consumption. Establish architecture standards, data governance, and security models while providing technical leadership to delivery teams.

Détails du poste

Overview Silver Creek Software Ltd. is an Alberta-based consulting firm specializing in data management, analytics, application development, automation, and modern workplace solutions. We partner with public sector and enterprise clients to deliver complex, high-impact technology solutions. Our team is known for its professionalism, technical depth, and commitment to excellence. We maintain a high standard of hiring and are proud to work alongside driven, capable professionals who consistently go above and beyond for our clients. We are seeking an experienced Data Architect with deep Microsoft Fabric expertise to design and guide modern enterprise data platforms across the Microsoft technology ecosystem. This position requires a strong foundation in enterprise data architecture combined with substantial hands-on knowledge of Microsoft Fabric and its core workloads. The successful candidate will be comfortable owning architecture across the full data lifecycle - from source integration and ingestion through OneLake, Lakehouse and Warehouse architecture, transformation, semantic modelling, governance, security, and analytics consumption. This is not strictly a conceptual architecture position; candidates should have sufficient technical depth to validate implementation approaches, work closely with data engineers and BI developers, and provide practical technical leadership throughout delivery. Key Responsibilities Define target-state enterprise data architectures using Microsoft Fabric and supporting Microsoft technologies. Design Fabric environments across tenants, domains, workspaces, capacities, OneLake, Lakehouses, Warehouses, and other Fabric workloads. Establish scalable data architecture patterns including medallion architecture, dimensional modelling, lakehouse architecture, data warehousing, and data-domain or data-product approaches. Determine appropriate use of Fabric Lakehouse, Warehouse, SQL endpoints, semantic models, Real-Time Intelligence, and other Fabric capabilities based on solution requirements. Architect enterprise data ingestion and integration using Fabric Data Factory, Data Pipelines, Dataflows Gen2, Mirroring, OneLake Shortcuts, APIs, and other integration approaches. Design scalable ETL/ELT patterns supporting structured, semi-structured, batch, incremental, and near-real-time data workloads. Guide data transformation approaches using SQL, Python, PySpark, Spark, Fabric Notebooks, Delta tables, and related technologies. Develop conceptual, logical, and physical data models that support transactional, analytical, reporting, and enterprise data requirements. Define dimensional models, star schemas, curated data products, semantic layers, and reusable enterprise data structures. Architect Power BI integration with Fabric, including semantic models, Direct Lake, DirectQuery and Import strategies, data security, performance, and enterprise reporting standards. Establish data governance, cataloguing, lineage, classification, quality, retention, and lifecycle standards using Microsoft Fabric and Microsoft Purview capabilities. Design appropriate security models using Microsoft Entra ID, role-based access control, workspace and item permissions, and row-, column-, or object-level data security. Define architecture standards for integrating Fabric with Microsoft business platforms such as Dataverse, Dynamics 365, Power Platform, SharePoint, Microsoft 365 data sources, and enterprise APIs where appropriate. Architect integrations with existing Azure data technologies including Azure Data Factory, Azure Synapse Analytics, Azure SQL, ADLS Gen2, Databricks, Event Hubs, and related services. Assess existing data platforms and develop modernization or migration approaches into Microsoft Fabric. Establish DataOps and DevOps practices including Git integration, source control, environment promotion, Fabric deployment pipelines, Azure DevOps, automated deployment, and release governance. Provide guidance on Fabric capacity planning, performance optimization, workload management, scalability, monitoring, and cost management. Establish architecture standards, design patterns, technical documentation, decision records, and reusable implementation guidance. Conduct architecture reviews and validate technical designs produced by data engineering, analytics, BI, and application teams. Work closely with business stakeholders, data engineers, BI developers, analysts, application teams, security specialists, and project leadership to translate business requirements into practical data solutions. Provide technical leadership, mentoring, and knowledge transfer to delivery teams. Identify architectural risks, dependencies, technical debt, data-quality concerns, and implementation constraints early in the delivery lifecycle. Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related discipline, or equivalent combination of education and professional experience. Significant experience in data architecture, data engineering, analytics architecture, enterprise data platforms, or related disciplines. Demonstrated experience architecting and delivering enterprise-scale data and analytics solutions. Extensive hands-on experience with Microsoft Fabric, including production implementation or architecture responsibility across multiple Fabric capabilities. Strong knowledge of OneLake architecture, Fabric Lakehouse, Fabric Warehouse, Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, semantic models, and Power BI integration. Demonstrated ability to design end-to-end Fabric solutions rather than working exclusively within a single Fabric workload. Strong understanding of medallion architecture, data lakehouse patterns, data warehousing, dimensional modelling, data domains, and enterprise data architecture principles. Strong SQL and T-SQL skills, including data modelling, transformation, optimization, and complex analytical workloads. Hands-on knowledge of Python and PySpark/Spark for enterprise data processing and transformation. Strong experience with Power BI architecture, semantic modelling, DAX, Power Query, Direct Lake, security, performance optimization, and governed enterprise analytics. Experience designing ETL/ELT pipelines and enterprise ingestion patterns using Fabric Data Factory, Azure Data Factory, or comparable technologies. Strong understanding of Delta Lake, Parquet, lakehouse storage patterns, incremental processing, change data capture, and large-scale data transformation. Experience with Microsoft Azure data services such as Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL, and/or Azure Databricks. Experience designing secure enterprise data environments using Microsoft Entra ID, RBAC, least-privilege access, and appropriate data-level security controls. Experience implementing or contributing to enterprise data governance, metadata management, lineage, data quality, classification, and compliance practices. Experience with Git-based development, CI/CD, Azure DevOps and/or GitHub, environment promotion, and DataOps practices. Experience developing architecture diagrams, solution designs, technical standards, roadmaps, decision records, and implementation guidance. Strong understanding of data integration patterns involving APIs, relational databases, files, SaaS platforms, cloud services, and enterprise applications. Ability to translate business, information, security, and reporting requirements into scalable technical architecture. Strong technical leadership and communication skills, with the ability to work effectively with both technical and non-technical stakeholders. Ability to operate independently, evaluate architectural trade-offs, and provide clear recommendations supported by practical implementation experience. Desirable Attributes Microsoft Certified: Fabric Analytics Engineer Associate (DP-600). Microsoft Certified: Fabric Data Engineer Associate (DP-700). Microsoft Power BI Data Analyst (PL-300) or related Microsoft certifications. Experience with Microsoft Purview, enterprise data cataloguing, lineage, sensitivity labelling, and information governance. Experience administering or architecting Fabric capacities, workspaces, domains, tenant settings, security models, and capacity utilization. Experience migrating Azure Synapse Analytics, Azure Data Factory, SQL Server, traditional data warehouses, Power BI estates, or other analytics platforms to Microsoft Fabric. Strong understanding of Dataverse and integration between Microsoft Fabric, Dynamics 365, and Power Platform. Experience integrating SharePoint Online, Microsoft Graph, Microsoft 365, or other Microsoft SaaS data sources into enterprise analytics platforms. Experience with Fabric Real-Time Intelligence, Eventstreams, Eventhouse, KQL, streaming data, or event-driven analytics. Experience with Azure Databricks and an understanding of architectural trade-offs between Databricks and Microsoft Fabric. Experience designing enterprise self-service analytics environments and reusable certified semantic models. Experience with Fabric Copilot, data agents, Azure AI Foundry, Azure OpenAI, or architecture supporting AI-ready enterprise data. Knowledge of master data management, data quality frameworks, metadata-driven architecture, or data-product operating models. Experience working within public sector, regulatory, or other governance-intensive enterprise environments. Previous consulting experience and demonstrated ability to lead technical discussions directly with clients. Join Us Silver Creek offers the opportunity to work with a high-performing team on meaningful projects that deliver real value to our clients. We provide flexibility, autonomy, and trust, while holding ourselves to a high standard of professionalism and accountability.

Ce que vous ferez

Design and guide modern enterprise data platforms using Microsoft Fabric, covering the full data lifecycle from ingestion to analytics consumption. Establish architecture standards, data governance, and security models while providing technical leadership to delivery teams.

Exigences

Requires a degree in Computer Science or a related field and significant experience in enterprise data architecture and Microsoft Fabric implementation. Proficiency in SQL, Python, PySpark, and Power BI is essential, along with experience in Azure data services and DevOps practices.

Compétences indiquées

• Power BI · Souhaitée
• SQL · Souhaitée
• CI/CD · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Microsoft Fabric
• Data Architecture
• OneLake
• Lakehouse
• Data Warehousing
• Power BI
• SQL
• Python
• PySpark
• ETL/ELT
• Dimensional Modelling
• Microsoft Purview
• Azure Data Factory
• Azure Synapse Analytics
• CI/CD
• Data Governance

Domaines d’emploi

• Data & Analytics
• Consulting
• Technology
• Software
• Engineering