Senior Data Architect - Fabric
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 4h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay CA$155.7k–183k/yr
Middle 50% of 124 listings that do state pay — Engineering · Senior · Canada · CAD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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bamboohr employer's own board first seen 4h ago · last seen 1h ago
The listing
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.