Aylo
Tech / AI / Software
LeadSQLDeveloper
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead SQL Developer at Aylo. Skills: SQL Development, Azure Data Platform, Data Pipelines, Lakehouse Architecture, Technical Leadership. Provide technical leadership and architectural guidance to data engineers and SQL developers. leading design discussions and architecture reviews”
What You'll Achieve.
contribute to the evolution of our enterprise data platform; enable safe user experiences; empower our communities; maintaining robust trust-and-safety protocols
Industry & Context.
Optimize and troubleshoot Spark workloads, Synapse queries, and Azure SQL performance; investigating alerts; resolving data pipeline failures
A select number of positions require full-time in office attendance, In this role you may be exposed to adult content
What They're Looking For.
Must Have
6+ years of experience in data development, 2+ years experience leading or mentoring technical teams, 2+ years of hands-on Azure Cloud experience, Hands-on experience with PySpark, Hands-on experience with Delta Lake/lakehouse architectures, Hands-on experience with large-scale data ingestion pipelines, T-SQL knowledge, relational database design, Experience designing and implementing ETL/ELT pipelines, troubleshooting skills in data pipeline and database performance issues, Experience working with hybrid environments (Azure, on-prem SQL Server)
Nice to Have
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
What You'll Do.
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
including code and design reviews
Mentor team members and support their technical growth
Design and evolve a modern Azure data platform
Define scalable architecture patterns for lakehouse platforms
data ingestion pipelines
and data quality frameworks
Optimize and troubleshoot Spark workloads
and Azure SQL performance
Improve platform reliability
and Azure workload cost efficiency
Support operational processes including investigating alerts
resolving data pipeline failures
and improving operational runbooks
How You'll Work.
Team & Collaboration
international team of dynamic and collaborative innovators; guide a team of data engineers; Provide technical leadership and architectural guidance to data engineers and SQL developers; leading design discussions and architecture reviews; Mentor team members
Communication Scope
communication and leadership skills
Full Job Description
Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. 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 relia
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