PreSales Collective · 3 hours ago
Senior Azure Solutions Engineer ~ $400,000 - Tier 1 Investment Manager
PreSales Collective is seeking an experienced Azure Solutions Engineer with deep technical expertise in both data engineering and application development. This hands-on, VP-level opportunity involves designing, building, and optimizing high-performance cloud solutions within a technology-forward financial services environment.
Communities
Responsibilities
Design and implement secure, scalable solutions across Azure data, storage, analytics, and application services
Apply Azure Well-Architected Framework principles to ensure performance, cost optimization, security, and reliability
Collaborate with infrastructure teams to develop efficient, resilient cloud environments
Build and maintain cloud-native applications using Azure App Services, Azure Functions, AKS, and related services
Develop APIs, microservices, and serverless solutions aligned with best practices
Integrate applications with Azure-based data ecosystems (Data Lake, Synapse, Databricks, Azure SQL)
Design and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Stream Analytics
Develop robust data models, warehouses, and lakes supporting BI and analytics initiatives
Ensure high standards for data quality, governance, and lineage
Qualification
Required
Deep technical expertise in data engineering and application development
Experience in designing, building, and optimizing high-performance cloud solutions
Strong architectural vision with practical implementation skills across Microsoft Azure
Ability to design and implement secure, scalable solutions across Azure data, storage, analytics, and application services
Knowledge of Azure Well-Architected Framework principles for performance, cost optimization, security, and reliability
Experience collaborating with infrastructure teams to develop efficient, resilient cloud environments
Experience building and maintaining cloud-native applications using Azure App Services, Azure Functions, AKS, and related services
Ability to develop APIs, microservices, and serverless solutions aligned with best practices
Experience integrating applications with Azure-based data ecosystems (Data Lake, Synapse, Databricks, Azure SQL)
Experience designing and optimizing ETL/ELT pipelines using Azure Data Factory, Databricks, and Stream Analytics
Ability to develop robust data models, warehouses, and lakes supporting BI and analytics initiatives
Commitment to ensuring high standards for data quality, governance, and lineage