Senior Data Engineer: Legacy SQL & Data Modernization

IMG LIVE; Beverly Hills (CA); On-site; USD 127,500 - 170,000; Full time

Job summary

WME Enterprise IT is seeking a Senior Data Engineer to own and modernize the SQL data estate that underpins analytics and reporting across our global footprint. You’ll stabilize legacy environments, build ELT pipelines from multiple sources, and partner with the enterprise architect on governance and privacy.

Responsibilities include ensuring high availability with disaster recovery, delivering analytics‑ready datasets for BI, reporting, and AI, and advancing data governance to meet GDPR/CCPA

Qualifications

• 7+ years in data and/or database engineering.
• Deep SQL and SQL Server administration (T‑SQL, maintenance, troubleshooting).
• Experience modernizing legacy SQL/database environments (consolidation, upgrades, migration).
• DPA/DR concepts: Always On, backup & restore, RTO/RPO planning.

Responsibilities

• Support, stabilize, and maintain legacy SQL databases behind applications.
• Build and modernize ELT pipelines from multiple source systems into a governed data store.
• Develop data models and analytics-ready datasets for BI and analytics.
• Ensure high availability, disaster recovery planning, and testing.
• Contribute to data governance, privacy, and regulatory operationalization (GDPR, CCPA).
• Grow toward broader database ownership and knowledge transfer.

Skills

SQL Server administration

ELT / pipelines

Data modeling

Regulatory compliance knowledge

Tools

SAP integration

Power BI datasets

Microsoft Purview

Job description

WME Enterprise IT is seeking a Senior Data Engineer to own and modernize the SQL data estate that underpins analytics and reporting across our global footprint. You’ll stabilize legacy environments, build ELT pipelines from multiple sources, and partner with the enterprise architect on governance and privacy.

Responsibilities include ensuring high availability with disaster recovery, delivering analytics‑ready datasets for BI, reporting, and AI, and advancing data governance to meet GDPR/CCPA