Posted last month
Senior Data Architect - Fabric
@ Data Elephant
Toronto, Ontario
Overview
Data Elephant is hiring a Senior Data Architect on a contract basis to lead new Microsoft Fabric implementations for clients. The work covers discovery, architecture, platform setup, delivery and operational handover across Fabric, OneLake and Azure, and includes mentoring engineers and leading architecture reviews.
Responsibilities:
- Lead discovery workshops and design phased Fabric architectures
- Design Fabric environments, OneLake layers and data models
- Select ingestion, transformation and orchestration approaches
- Establish security, governance and CI/CD standards
- Lead delivery reviews and mentor engineers
Requirements summary:
- Significant enterprise data platform and technical leadership experience
- Fabric architecture and production implementation experience
- Strong Azure data platform and Delta Lake knowledge
- Hands-on SQL and Python or PySpark
- Strong data modelling and ETL/ELT skills
Tools & skills
Source and dates
Employer career site / ATS feed · bamboohr
- Employer posting date
- 2026-09-28
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Data Elephant
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
A more human approach to modern Data, Analytics & AI services.
Full company description
Data Elephant was founded in 2022 to fulfill a need in the Canadian market for a dedicated and full-stack data and analytics services firm. Our founders bring technology services experience from boutique and global consulting firms resulting in a unique engagement model and value proposition for our clients. Our approach is to bring the deep technical expertise, flexibility, and drive to prove value quickly of a boutique firm, and combine it with the strategic thinking, proven methodology, and cross-industry experience of a global firm. Our goal is to be our client's go-to Canadian partner for driving value and impact across the whole data stack.
- LinkedIn followers
- 4,525
- People associated on LinkedIn
- 30
- Reported office locations
- Vancouver, BC, CA
- Calgary, Alberta, CA
- Toronto, Ontario, CA
- Business categories
- Data Governance
- Data Integration
- Consulting
- Data Management
- Enterprise Software
- Business Intelligence
- Cloud Computing
- Cloud Infrastructure
- Machine Learning
- Artificial Intelligence (AI)
- Other recorded names
- Data Elephant
- Specialties
- cloud
- dataengineering
- dataarchitecture
- analytics
- machinelearning
- datastrategy
- devops
- aws
- azure
- canada
- businessintelligence
- AI
- dataops
- datalake
- databricks
- snowflake
- sagemaker
- and synapse
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Data Elephant was founded in 2022 to fulfill a need in the Canadian market for a dedicated and full-stack data and analytics services firm. Our founders bring technology services experience from boutique and global consulting firms resulting in a unique engagement model and value proposition for our clients. Our approach is to bring the deep technical expertise, flexibility, and drive to prove value quickly of a…
| Field | Value |
|---|---|
| Industry | Data Infrastructure and Analytics |
| Company size | 11-50 employees |
| Headquarters | Vancouver, BC |
| Organization type | Privately Held |
| Year founded | 2022 |
| Specialties | clouddataengineeringdataarchitectureanalyticsmachinelearningdatastrategydevopsawsazurecanada |
| Open jobs on Jobsy | 2 |
| View page |
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.
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