Responsibilities

Lead the architecture, design, and implementation ofadvanced analytics solutions using Azure Databricks and Microsoft Fabric.
Apply deep expertise in big data technologies, dataengineering, cloud computing, Azure Databricks, and strong SQL skills todeliver scalable solutions.
Work closely with business stakeholders and IT teams tounderstand 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 processesusing Azure Databricks, PySpark, and other relevant tools.
Integrate Azure Databricks with Azure services such as AzureData Lake, Azure Synapse, Azure Data Factory, and on-premises systems.
Provide expertise in Spark; Scala experience is an addedadvantage.
Demonstrate strong Microsoft Fabric expertise, includingpipeline development, notebook development, semantic modelling, real-timeintelligence, and related scenarios.
Provide technical leadership and mentorship to the dataengineering team, fostering a culture of continuous learning and improvement.
Ensure proper documentation of architecture, processes, anddata 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 andassociated technologies to support continuous innovation.

Essential Skills

Mandatory French-speaking capability.
Strong experience with Azure Databricks, including clustermanagement, notebook development, and Delta Lake.
Proficiency in big data technologies such as Hadoop andSpark, along with data processing frameworks such as PySpark.
Deep understanding of Azure services, including Azure DataLake, Azure Synapse, and Azure Data Factory.
Experience with Power BI, SSRS, SSAS, and SKU migration fromP-SKU to F-SKU.
Experience with ETL/ELT processes, data warehousing, anddata lake development.
Strong SQL skills and familiarity with NoSQL databases.
Experience with CI/CD pipelines and version control systemssuch as Git.
Knowledge of cloud security best practices.

Soft Skills

Mandatory French-speaking capability.
Excellent communication skills, with the ability to explaincomplex technical concepts to non-technical stakeholders.
Strong problem-solving skills and a proactive approach toidentifying and resolving issues.
Leadership skills, with the ability to manage and mentor ateam of data engineers.

Nice-to-Have Skills

Power BI experience for dashboarding and reporting.
Microsoft Fabric experience for analytics and integrationtasks.
Spark Streaming experience for processing real-time datastreams.
Familiarity with Azure Resource Manager templates forinfrastructure as code practices.

Experience

Demonstrated expertise of 12 years in developing dataingestion and transformation pipelines using Databricks/Synapse notebooks andAzure Data Factory.
Solid understanding and hands-on experience with Deltatables, Delta Lake, and Azure Data Lake Storage Gen2.
Experience using Auto Loader and Delta Live Tables forseamless data ingestion and transformation.
Proficiency in building and optimizing query layers usingDatabricks SQL.
Demonstrated experience integrating Databricks with AzureSynapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
Prior experience developing, optimizing, and deploying PowerBI reports.
Familiarity with modern CI/CD practices, especially in thecontext of Databricks and cloud-native solutions.

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Specialist - Architecture