Senior Data Engineer

WME is seeking a Senior Data Engineer to own, support, and modernize its enterprise SQL data ecosystem. This role is ideal for someone with deep SQL Server expertise who enjoys balancing hands-on database administration with strategic modernization initiatives. While the position carries a Data Engineer title, the primary focus is on SQL database ownership, performance, high availability, disaster recovery, and long-term modernization planning. This is not an AI/ML engineering role and does not own BI reporting or dashboard development. Instead, the role is responsible for the data platforms, databases, and pipelines that enable analytics and reporting across the organization. The ideal candidate combines strong SQL Server DBA expertise with modern data engineering experience. They are comfortable maintaining and optimizing existing systems while helping guide an organization’s evolution toward cloud-native platforms. Success in this role requires a balance of operational excellence, technical depth, modernization experience, and collaboration with application development teams. * 60% SQL Server administration and database ownership * 30% Azure database and cloud modernization initiatives * 10% Data engineering, ELT development, and data modeling

• 7+ years in data or database engineering
• Strong experience administering and supporting SQL Server environments.
• Expertise in T-SQL, performance tuning, troubleshooting, backup/recovery, and database maintenance.
• Experience with high availability and disaster recovery technologies and best practices.
• Hands-on experience with ELT processes, data pipelines, and data modeling.
• Experience modernizing or migrating legacy database environments.
• Understanding of data governance, privacy, and regulatory requirements.
• Ability to work cross-functionally with engineering, architecture, and business stakeholders.
• Experience with Azure data services, cloud databases, data lakes, or modern cloud-native data platforms.
• Experience integrating data from ERP systems such as SAP.
• Exposure to NoSQL technologies and modern data architectures.
• Experience working in enterprise environments undergoing data platform transformation.