Posted 2 months ago
Specialist - Architecture
@ Maarut
Toronto, Ontario
SIGNALS
Overview
Maarut is hiring a full-time Specialist, Architecture to lead the design and implementation of advanced analytics solutions on Azure Databricks and Microsoft Fabric. The role leads a data engineering team, builds data pipelines and ETL processes, and works with business stakeholders. Mandatory French-speaking capability is required.
Responsibilities:
- Lead architecture and implementation of analytics solutions on Azure Databricks and Microsoft Fabric
- Build data pipelines and ETL processes with PySpark and Azure services
- Mentor and lead the data engineering team
- Document architecture, data flows and governance compliance
Requirements summary:
- 12 years of experience with Databricks, Synapse and Azure Data Factory pipelines
- Strong SQL and Power BI experience
- Mandatory French-speaking capability
- Excellent communication and team leadership skills
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-09-14
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-10
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 |
| Experience | 12+ years |
| Manages people | Yes |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English, French |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Maarut
| Field | Value |
|---|---|
| Open jobs on Jobsy | 56 |
Job description
Responsibilities
- Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks and Microsoft Fabric.
- Apply deep expertise in big data technologies, data engineering, cloud computing, Azure Databricks, and strong SQL skills to deliver scalable solutions.
- Work closely with business stakeholders and IT teams to understand requirements and deliver effective, business-aligned solutions.
- Oversee end-to-end implementation of data solutions, ensuring alignment with business requirements and industry best practices.
- Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
- Integrate Azure Databricks with Azure services such as Azure Data Lake, Azure Synapse, Azure Data Factory, and on-premises systems.
- Provide expertise in Spark; Scala experience is an added advantage.
- Demonstrate strong Microsoft Fabric expertise, including pipeline development, notebook development, semantic modelling, real-time intelligence, and related scenarios.
- Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
- Ensure proper documentation of architecture, processes, and data flows while maintaining compliance with security and governance standards.
- Promote best practices for code quality, data security, scalability, and maintainability.
- Stay current with the latest developments in Databricks and associated technologies to support continuous innovation.
Essential Skills
- Mandatory French-speaking capability.
- Strong experience with Azure Databricks, including cluster management, notebook development, and Delta Lake.
- Proficiency in big data technologies such as Hadoop and Spark, along with data processing frameworks such as PySpark.
- Deep understanding of Azure services, including Azure Data Lake, Azure Synapse, and Azure Data Factory.
- Experience with Power BI, SSRS, SSAS, and SKU migration from P-SKU to F-SKU.
- Experience with ETL/ELT processes, data warehousing, and data lake development.
- Strong SQL skills and familiarity with NoSQL databases.
- Experience with CI/CD pipelines and version control systems such as Git.
- Knowledge of cloud security best practices.
Requirements
Soft Skills
- Mandatory French-speaking capability.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and a proactive approach to identifying and resolving issues.
- Leadership skills, with the ability to manage and mentor a team of data engineers.
Nice-to-Have Skills
- Power BI experience for dashboarding and reporting.
- Microsoft Fabric experience for analytics and integration tasks.
- Spark Streaming experience for processing real-time data streams.
- Familiarity with Azure Resource Manager templates for infrastructure as code practices.
Experience
- Demonstrated expertise of 12 years in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
- Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
- Experience using Auto Loader and Delta Live Tables for seamless data ingestion and transformation.
- Proficiency in building and optimizing query layers using Databricks SQL.
- Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
- Prior experience developing, optimizing, and deploying Power BI reports.
- Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.
Journal
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