Senior Data Architect - Fabric

Posted Yesterday
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Hiring Remotely in Toronto, ON, CAN
In-Office or Remote
Senior level
Artificial Intelligence • Business Intelligence • Consulting • Big Data Analytics
The Role
Lead client-facing Microsoft Fabric implementations from discovery and architecture through go-live and operational handover. Design OneLake, Lakehouse, Warehouse, ingestion, transformation, data models, security, governance, deployment, monitoring, and capacity practices across Fabric and Azure. Conduct workshops, guide technical delivery, validate decisions through hands-on implementation, mentor engineers, and translate technical trade-offs into business outcomes.
Summary Generated by Built In

About Data Elephant

Data Elephant is a Canadian Data, Analytics & AI consulting firm helping organizations solve complex data, analytics, AI, and machine learning challenges. We combine business understanding with hands-on technical delivery to build modern data platforms and turn data into useful outcomes.

The Role

We are looking for a client-facing Senior Data Architect with deep Microsoft data platform expertise to lead new Microsoft Fabric implementations. You will guide clients from discovery and architecture through platform setup, delivery, and operational handover, establishing a secure and scalable foundation across Fabric, OneLake, and Azure. You should be comfortable setting technical direction while staying hands-on with prototypes, platform configuration, and complex implementation decisions.

Responsibilities

  • Lead discovery workshops to understand business priorities, source systems, data volumes, security requirements, and operational constraints; translate findings into a practical architecture and phased implementation plan.
  • Design new 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, and appropriate use of shortcuts, mirroring, and data movement.
  • Select ingestion, transformation, and orchestration approaches across Fabric Data Factory, Dataflow Gen2, Spark notebooks, and relevant Azure services; explain the trade-offs clearly.
  • Design data models and curated data products that support reporting, Power BI semantic models, analytics, and future 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 where appropriate.
  • Set standards for Git, CI/CD, deployment, testing, monitoring, recovery, and performance and capacity management. Validate key decisions through hands-on implementation.
  • Lead technical delivery and architecture reviews, mentor engineers, and work with pursuit and delivery teams on scope, estimates, dependencies, and implementation risks.

What You Bring

  • Significant experience designing and delivering enterprise data platforms, including technical leadership and direct client engagement.
  • Demonstrated experience architecting and implementing Microsoft Fabric in production, ideally taking a new environment from initial design through go-live.
  • 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, plus strong data modeling, ETL/ELT, and dimensional modeling skills.
  • Experience designing security, governance, deployment, and operational practices, with 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 Experience We Value

  • Microsoft Purview, Power BI semantic models and Direct Lake, Azure Databricks, or Azure Synapse migration experience.
  • Experience with Fabric capacity planning and monitoring, Real-Time Intelligence, or enterprise ERP and SaaS integrations.
  • Relevant Microsoft certifications, such as Fabric Analytics Engineer Associate or Fabric Data Engineer Associate; practical delivery experience is the priority.

How You Work

  • You are naturally curious, stay current with emerging technologies, and enjoy learning from colleagues and clients.
  • You take ownership, ask thoughtful questions, and bring practical ideas to fast-paced, changing environments.
  • You collaborate without ego, welcome feedback, and share knowledge freely. You care about the quality of your work and the success of the team.
  • You communicate clearly with technical and business audiences, explain trade-offs, and build trust with clients.

Why Join Data Elephant

At Data Elephant, you will work directly with clients on meaningful challenges, contribute to how we deliver, and learn alongside experienced colleagues. You will have opportunities to take ownership, deepen your expertise, and help shape a growing consulting practice.

Skills Required

  • Significant experience designing and delivering enterprise data platforms
  • Technical leadership and direct client engagement experience
  • Experience architecting and implementing Microsoft Fabric in production
  • 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
  • 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
  • Ability to lead workshops, document architecture decisions, guide delivery teams, and communicate technical options to business audiences
  • 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, such as Fabric Analytics Engineer Associate or Fabric Data Engineer Associate
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The Company
27 Employees
Year Founded: 2022

What We Do

Data Elephant is a Vancouver-based consultancy helping organizations modernize data infrastructure and platforms to improve decision-making, self-service reporting, advanced analytics, AI, and machine learning. Its full-stack services include data strategy, governance, architecture and engineering, business intelligence, advanced analytics, generative AI, and cloud foundations. The company partners with clients from strategy through execution, combining technical delivery and strategic guidance to address data challenges and create measurable business outcomes.

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