Lead SQL Developer

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).

*A select number of positions require full-time in office attendance*

Our Data Warehouse Team is looking for a Lead SQL Developer to contribute to the evolution of our enterprise data platform within the Data Warehouse Services team. This role combines technical leadership and hands-on engineering. The Lead will guide a team of data engineers responsible for designing, building, and operating modern data pipelines and analytical platforms across Azure.

What you'll be doing:

• Provide technical leadership and architectural guidance to data engineers and SQL developers, leading design discussions and architecture reviews.
• Establish engineering standards and best practices for data pipelines, lakehouse platforms, and SQL development, including code and design reviews.
• Mentor team members and support their technical growth.
• Design and evolve a modern Azure data platform using Azure Synapse Analytics, Synapse Spark, Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL Database, and Microsoft Fabric.
• Define scalable architecture patterns for lakehouse platforms, Delta Lake tables, data ingestion pipelines, and data quality frameworks.
• Optimize and troubleshoot Spark workloads, Synapse queries, and Azure SQL performance.
• Improve platform reliability, observability, monitoring, and Azure workload cost efficiency.
• Support operational processes including investigating alerts, resolving data pipeline failures, and improving operational runbooks.

What you'll need to be successful:

Must Haves:

• 6+ years of experience in data development.
• 2+ years experience leading or mentoring technical teams.
• 2+ years of hands-on Azure Cloud experience, including proficiency in Synapse Analytics, Azure SQL Database, Data Lake Storage Gen2, and Delta Lake.
• Hands-on experience with PySpark, Delta Lake/lakehouse architectures, and large-scale data ingestion pipelines.
• Strong T-SQL knowledge and relational database design.
• Experience designing and implementing ETL/ELT pipelines.
• Strong troubleshooting skills in data pipeline and database performance issues.
• Experience working with hybrid environments (Azure, on-prem SQL Server).
• Strong communication and leadership skills.

Nice to Haves:

• Experience with Microsoft Fabric
• Experience implementing CI/CD pipelines (Azure DevOps / Git)
• Experience with cost optimization of cloud data platforms
• Familiarity with Azure networking and integration runtimes
• Experience designing data quality and observability frameworks
• Demonstrated judgment reviewing and correcting AI-generated code
• Evidence of having restructured workflows around AI, beyond occasional use
• Hands-on experience building or configuring AI agents and automated workflows