Description
Global-e (Nasdaq: GLBE) is a leading platform that enables and accelerates global e-commerce for brands and retailers. As a truly global company, we partner with some of the world’s most recognized brands to provide a seamless end-to-end solution for international online sales, including localization, payments, logistics, and compliance. Our technology-driven approach helps businesses expand into new markets and deliver a smooth, localized shopping experience to customers worldwide.
We’re looking for a skilled Applicative SQL Server DBA with a strong background in system design, SQL Server development, and a deep understanding of data architecture.
This position is a key role within Global-e’s Data Department, which supports critical business decisions and manages complex financial processes — including reporting for NASDAQ compliance.
Responsibilities:
- Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
- Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analyses.
- Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
- Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.
Requirements
- 3+ years of experience as a SQL Server DBA.
- Ability to translate business processes into efficient, functional code.
- Strong multitasking skills and the ability to perform under tight deadlines in a dynamic environment.
- High standards in design, documentation, and testing.
- Proven experience with automation through scripting (PowerShell, SQL, etc.).
- Hands-on experience with Snowflake (advantage).
- Background or familiarity with financial systems or terminology (advantage).
- Experience working with AWS (advantage).
- Familiarity with SSIS, or tools such as Rivery, Qlik Replicate, dbt, or Airflow (advantage).
- Familiarity with AI-assisted development and operations tools, e.g Microsoft Copilot, AI-based query optimization or monitoring tools (advantage)
