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About the role

  • 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

Job title

Job type

Contract

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AzureERPETLPySparkPythonSparkSQL

Location requirements

RemoteCanada

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