Senior Data Architect leading Microsoft Fabric implementations for Data Elephant, a Canadian data, analytics, and AI consulting firm. Designing secure Azure, OneLake, and Fabric platforms for clients.
Responsibilities
Lead discovery workshops to understand business priorities, source systems, data volumes, security requirements, and operational constraints
Translate discovery findings into practical architecture and phased implementation plans
Design Microsoft Fabric environments, including tenant and capacity considerations, workspace organization, development and production separation, and ownership and support responsibilities
Define OneLake architecture, Lakehouse and Warehouse patterns, medallion layers, data organization, shortcuts, mirroring, and data movement
Select ingestion, transformation, and orchestration approaches across Fabric Data Factory, Dataflow Gen2, Spark notebooks, and relevant Azure services
Design data models and curated data products for reporting, Power BI semantic models, analytics, AI, and machine learning use cases
Establish security and governance with client teams, including Microsoft Entra ID, access controls, data ownership, lineage, classification, and Microsoft Purview integration
Set standards for Git, CI/CD, deployment, testing, monitoring, recovery, and performance and capacity management
Validate key architecture decisions through hands-on implementation
Lead technical delivery and architecture reviews
Mentor engineers
Work with pursuit and delivery teams on scope, estimates, dependencies, and implementation risks
Requirements
Significant experience designing and delivering enterprise data platforms
Technical leadership and direct client engagement experience
Demonstrated experience architecting and implementing Microsoft Fabric in production
Strong practical knowledge of OneLake, Fabric Lakehouse and Warehouse, Fabric Data Factory, Spark notebooks, and Delta Lake
Strong Microsoft Azure data platform experience, including Azure Data Factory, ADLS Gen2, and Azure SQL
Ability to design integrations between Azure and Fabric
Hands-on proficiency with SQL and Python or PySpark
Strong data modeling, ETL/ELT, and dimensional modeling skills
Experience designing security, governance, deployment, and operational practices
Sound judgment about performance, cost, and maintainability
Ability to lead workshops, document architecture decisions, guide delivery teams, and translate technical options into business implications
Additional valued experience with Microsoft Purview, Power BI semantic models and Direct Lake, Azure Databricks, or Azure Synapse migration
Experience with Fabric capacity planning and monitoring, Real-Time Intelligence, or enterprise ERP and SaaS integrations
Relevant Microsoft certifications are valued, such as Fabric Analytics Engineer Associate or Fabric Data Engineer Associate
Clear communication with technical and business audiences
Ability to explain trade-offs and build trust with clients
Benefits
Opportunities to take ownership and deepen expertise
Learning alongside experienced colleagues
Meaningful client challenges
Opportunity to contribute to delivery practices and help shape a growing consulting practice
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