Duvari Group
Manager, Data Engineering | St. Louis, MO (Hybrid)
We are seeking a
Manager of Data Engineering
to lead the modernization of an enterprise data platform.
In this highly visible leadership role, you'll guide a talented team of engineers in building scalable, cloud-based data solutions that power analytics, financial reporting, and AI initiatives across the organization. You'll collaborate closely with Finance, IT, and business stakeholders to drive data-driven decision making and shape the company's digital future.
What You'll Do: Build, lead, and mentor a high-performing data engineering & AI/ML team. Design, build, and maintain scalable data pipelines and models that connect financial, operational, and analytical systems. Drive modernization using platforms such as Databricks, Snowflake or Microsoft Fabric. Champion data governance, security, and quality. Partner with Finance, IT, and business stakeholders to deliver trusted actionable insight. What We're Looking For:
5+ years in data engineering with a solid understanding of cloud platforms, data lake architecture, and enterprise data warehousing. 3-5 years leadership or team lead capacity. Proven experience in system development and project management. Preferred experience with Databricks, Snowflake or Microsoft Fabric, Power BI. Experience with data integration tools and technologies, including API integration, Alteryx, SQL Server Integration Services (SSIS), or Azure Data Factory
Build with purpose. Lead with data. Apply today.
We are seeking a
Manager of Data Engineering
to lead the modernization of an enterprise data platform.
In this highly visible leadership role, you'll guide a talented team of engineers in building scalable, cloud-based data solutions that power analytics, financial reporting, and AI initiatives across the organization. You'll collaborate closely with Finance, IT, and business stakeholders to drive data-driven decision making and shape the company's digital future.
What You'll Do: Build, lead, and mentor a high-performing data engineering & AI/ML team. Design, build, and maintain scalable data pipelines and models that connect financial, operational, and analytical systems. Drive modernization using platforms such as Databricks, Snowflake or Microsoft Fabric. Champion data governance, security, and quality. Partner with Finance, IT, and business stakeholders to deliver trusted actionable insight. What We're Looking For:
5+ years in data engineering with a solid understanding of cloud platforms, data lake architecture, and enterprise data warehousing. 3-5 years leadership or team lead capacity. Proven experience in system development and project management. Preferred experience with Databricks, Snowflake or Microsoft Fabric, Power BI. Experience with data integration tools and technologies, including API integration, Alteryx, SQL Server Integration Services (SSIS), or Azure Data Factory
Build with purpose. Lead with data. Apply today.